tag:blogger.com,1999:blog-47900376604422501092024-02-08T01:14:01.679+01:00Know Your ImagesThis is a blog about Medical Imaging. As someone working on Medical Imaging for some years and who enjoys reading blogs, it seemed only natural that I start my own blog. Know your images is a blog directed to researchers and professionals in Medical Imaging, but also to all researchers out there and the general public.Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.comBlogger131125tag:blogger.com,1999:blog-4790037660442250109.post-45671824527918247922015-02-14T09:00:00.000+01:002015-02-15T23:01:43.870+01:00How does LOVE look in an X-ray? (because it's Valentine's day!)<div dir="ltr" style="text-align: left;" trbidi="on">
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Like this:</div>
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" width="232" /> </div>
<div style="text-align: center;">
<br /></div>
This work was awarded the Mitsubishi Chemical Junior Designer Award 2014. <br />
More information <a href="http://www.m-kagaku.co.jp/mcjda/award2013/awd01_det04.html">here</a>.</div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-74482617636878721992015-02-08T22:55:00.001+01:002015-02-08T22:55:22.344+01:00Medical Imaging Conferences 2015<div dir="ltr" style="text-align: left;" trbidi="on">
<div dir="ltr" style="text-align: left;" trbidi="on">
It is again time for researchers to plan which conferences are the best to
go this year. Do you recommend other Medical Imaging conferences? In the
end of this post, you find the Google calendar, which you can add to
your account (press the button in the bottom right).<br />
<br />
Society of Photo-Optical Instrumentation Engineers (SPIE) Medical Imaging 2015<br />
Orlando, Florida,
United States<span id="cd-details-date">, 21 - 26 February 2015</span><br />
<a href="http://spie.org/x12166.xml" target="_blank">http://spie.org/x12166.xml</a><br />
SPIE 2015 Abstract Submission is now closed!<br />
<br />
<div class="yellow">
<span style="font-weight: normal;">European Congress of Radiology (ECR 2015) </span></div>
<div class="yellow">
<span style="font-weight: normal;">Vienna, Austria, 4-8 </span><span style="font-weight: normal;">March 2015</span><br />
<a href="http://www.myesr.org/cms/website.php?id=/en/ecr_2015.htm" target="_blank">http://www.myesr.org/cms/website.php?id=/en/ecr_2015.htm</a><br />
ECR 2015 Abstract Submission is now closed!</div>
<br />
<span class="big">International Symposium on</span> BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2015)<br />
New York, United States, 16-19 April 2015. <br />
<a href="http://biomedicalimaging.org/2015/" target="_blank">http://biomedicalimaging.org/2015/</a><br />
ISBI 2015 Abstract Submission is now closed! <br />
<br />
<span style="font-family: inherit;">Annual meeting of the International Society of Magnetic Resonance in Medicine (ISMRM 201<span style="font-family: inherit;">5</span>)</span><br />
Organized jointly with European Society of Magnetic Resonance in Medicine and Biology<br />
<span style="font-family: inherit;"><span style="font-family: inherit;">Toronto<span style="font-family: inherit;">,</span></span> <span style="font-family: inherit;">Can<span style="font-family: inherit;">ada</span></span>, <span style="font-family: inherit;">30</span> </span><span style="font-family: inherit;"><span style="font-family: inherit;">May </span> - 5 Jun<span style="font-family: inherit;">e </span>201<span style="font-family: inherit;">5</span></span><br />
<a href="http://www.ismrm.org/15/" target="_blank">http://www.ismrm.org/15/</a><br />
ISMRM 2015 Abstract Submission is now closed! <br />
<br />
Computer Assisted Radiology and Surgery (CARS 2015)<br />
Barcelona, Spain, June 24-27 2015<br />
<a href="http://www.cars-int.org/" target="_blank">http://www.cars-int.org/</a> <br />
CARS 2015 Abstract Submission is now closed!<br />
<br />
Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC 2015)<br />
Milan, Italy, 25-29 August 2015<br />
<a href="http://embc.embs.org/2015/" target="_blank">http://embc.embs.org/2015/</a><br />
EMBC 2015 Abstract Submission: 31 March 2015 <br />
<br />
<span style="font-weight: normal;">Medical Image Computing and Computer Assisted Intervention (MICCAI 2015)</span><br />
Munich, Germany, 5-9 October 2015<br />
<a href="http://miccai2015.org/" target="_blank">http://miccai2015.org/</a><br />
MICCAI 2015 Abstract Submission: 6 March 2015<br />
<br />
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2015)<br />
San Diego, USA, 31 October - 7 November, 2015 <br />
<a href="http://www.nss-mic.org/2015" target="_blank">http://www.nss-mic.org/2015</a><br />
NSS/MIC 2015 Abstract Submission: 5 May 2015 <br />
<br />
Annual Meeting of the Radiology Society of North America (RSNA 2015)<br />
Chicago, USA, 29 November - 4 December 2015<br />
<a href="http://www.rsna.org/Annual_Meeting.aspx" target="_blank">http://www.rsna.org/Annual_Meeting.aspx</a><br />
RSNA 2015 Abstract Submission: 8 April 2015<br />
<br /></div>
<iframe frameborder="0" height="300" scrolling="no" src="https://www.google.com/calendar/embed?height=300&wkst=1&bgcolor=%23FFFFFF&src=ah0afmbtqmnd5grhbvbgvdcl3g%40group.calendar.google.com&color=%23B1440E&ctz=America%2FNew_York" style="border-width: 0;" width="400"></iframe>
</div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com1tag:blogger.com,1999:blog-4790037660442250109.post-64148712636413295772014-01-26T22:03:00.003+01:002014-01-26T22:04:25.569+01:00Design in Medical Imaging<div dir="ltr" style="text-align: left;" trbidi="on">
I have been recently in the <a href="http://en.red-dot.org/371.html" target="_blank">Red Dot Design Museum</a> in Essen, Germany and I was quite surprised to find out that they pointed out some design aspects of Medical Imaging scanners. I took some pictures for you:<br />
<br />
- PET Uptake Room: In some cases, before a patient makes a PET exam, he should rest to make sure there is uptake of the tracer in the regions of interest. The room should be relaxing and without stimuli. Philips has designed this room for that purpose. <br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhx5kG-Vc6wX3XFL9eQpfpOGLaMr0WNX82lq7CpFFzAmeqFP9go6WN14a9IksQ974QZTmcp-1ocWxqcf73DYAqabmkp4n5vkLgBez8qFlRowVC5rcol8eH138hNmvmoccVSwsAs2JuWokQ/s1600/IMG_20130918_140336.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhx5kG-Vc6wX3XFL9eQpfpOGLaMr0WNX82lq7CpFFzAmeqFP9go6WN14a9IksQ974QZTmcp-1ocWxqcf73DYAqabmkp4n5vkLgBez8qFlRowVC5rcol8eH138hNmvmoccVSwsAs2JuWokQ/s1600/IMG_20130918_140336.jpg" height="320" width="240" /> </a></div>
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- Hybrid Operating Room: A room where surgeries are performed, usually minimally-invasive surgeries, with access to all medical images previously acquired in the screens. The room is prepared to rapidly switch to standard surgical procedure in complicated situations. The room was also designed for comfort of the patient and medical staff.</div>
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1IsO8D7aQGUY_qmWyJSXllMPjW08BxS0LvOWKDIvpMUlstALEBcO3On2hLeEujH8uGWLB4Wc_ngXpRkd8a-AQj3HrlT_b0ksLCuNwNLAVH6UFK8MZVlLEuyv1I5Cxv2ZDrcb3bItNbOI/s1600/IMG_20130918_140247.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEg1IsO8D7aQGUY_qmWyJSXllMPjW08BxS0LvOWKDIvpMUlstALEBcO3On2hLeEujH8uGWLB4Wc_ngXpRkd8a-AQj3HrlT_b0ksLCuNwNLAVH6UFK8MZVlLEuyv1I5Cxv2ZDrcb3bItNbOI/s1600/IMG_20130918_140247.jpg" height="320" width="240" /> </a></div>
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- Magnetic Resonance Imaging: The machine that is best known for its tube shape, where the patient lies down and images are then acquired. The design of these machines has improved significantly to much more compact machines. Also, the size of the tunnel has increased, giving more comfort to the patient. Just look to an older MRI machine <a href="http://www.topbritishinnovations.org/PastInnovations/MRIScanner.aspx" target="_blank">here</a>. </div>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-48545205460167909152014-01-19T21:41:00.000+01:002014-01-19T21:41:36.137+01:00What does this blog talk about in one image?<div dir="ltr" style="text-align: left;" trbidi="on">
So, you want to know what this blog talked about in the last posts (since 3.May)? Just look at this image made with <a href="http://wordle.net/">wordle.net</a>:<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi2_3PRf-jhwKYeSXf2-gOUpQHWriwRyVE6spCGOUU1rhmKmsw2KsWare5tgsTdZTnGYp4OrR4XpPnsVcf9U28CRBzZUIs8BZjdAFfdGSglXZ-BYgLdGxJIBLTN5FouJXy50k3om4Su2Mc/s1600/WordleBlogCrop.png" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi2_3PRf-jhwKYeSXf2-gOUpQHWriwRyVE6spCGOUU1rhmKmsw2KsWare5tgsTdZTnGYp4OrR4XpPnsVcf9U28CRBzZUIs8BZjdAFfdGSglXZ-BYgLdGxJIBLTN5FouJXy50k3om4Su2Mc/s1600/WordleBlogCrop.png" height="260" width="400" /></a></div>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-53421874267993251292014-01-13T21:36:00.000+01:002014-01-13T21:37:26.687+01:00Cristiano Ronaldo - How many times did he undergo an MRI exam?<div dir="ltr" style="text-align: left;" trbidi="on">
Cristiano Ronaldo was announced today Ballon d'Or and it made me remember something I read some time ago about football players and their injuries. Most of football players injuries are assessed with medical imaging. Medical Imaging provides information about the extent of the injury (e.g. involvement of tendons) and also information about the recovery. The most important exams are: MRI and Ultrasound. Some clubs even have their own ultrasound machine. However, it is still recognized among experts that medical imaging for sports injuries needs further research, because at times it still does not have high sensitivity.<br />
<br />
<img alt="Cristiano Ronaldo feels the pain as Real Madrid slump to defeat at Osasuna" data-pin-description="Cristiano Ronaldo feels the pain as Real Madrid slump to defeat at Osasuna. Photograph: Ander Gillenea/AFP/Getty Images" height="276" itemprop="contentUrl representativeOfPage" src="http://static.guim.co.uk/sys-images/Football/Clubs/Club_Home/2011/1/31/1296479696097/Cristiano-Ronaldo-feels-t-007.jpg" width="460" /><br />
<br />
So how many times did Cristiano Ronaldo undergo an MRI exam?<br />
Ate least three that I could find:<br />
<a href="http://www.101greatgoals.com/blog/initial-reports-suggest-cristiano-ronaldo-thigh-injury-nothing-serious-could-be-fit-for-galatasaray-on-wednesday/" target="_blank">November 2013 </a><br />
<a href="http://www.telegraph.co.uk/sport/football/players/cristiano-ronaldo/7971692/Cristiano-Ronaldo-to-miss-games-with-Portugal-and-Real-Madrid-through-injury.html" target="_blank">August 2010</a><br />
<a href="http://www.realmadrid.com/cs/Satellite/en/1202801213634/noticia/Noticia/Cristiano_Ronaldo_injury_update.htm" target="_blank">October 2009</a><br />
<br />
More information <a href="http://www.auntminnieeurope.com/index.aspx?sec=sup&sub=mri&pag=dis&ItemID=608712&wf=507" target="_blank">here</a> and there:<br />
<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=British+journal+of+sports+medicine&rft_id=info%3Apmid%2F14751943&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=The+Football+Association+Medical+Research+Programme%3A+an+audit+of+injuries+in+professional+football--analysis+of+hamstring+injuries.&rft.issn=0306-3674&rft.date=2004&rft.volume=38&rft.issue=1&rft.spage=36&rft.epage=41&rft.artnum=&rft.au=Woods+C&rft.au=Hawkins+RD&rft.au=Maltby+S&rft.au=Hulse+M&rft.au=Thomas+A&rft.au=Hodson+A&rft.au=Football+Association+Medical+Research+Programme&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Woods C, Hawkins RD, Maltby S, Hulse M, Thomas A, Hodson A, & Football Association Medical Research Programme (2004). The Football Association Medical Research Programme: an audit of injuries in professional football--analysis of hamstring injuries. <span style="font-style: italic;">British journal of sports medicine, 38</span> (1), 36-41 PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/14751943" rev="review">14751943</a></span>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com4tag:blogger.com,1999:blog-4790037660442250109.post-33926991382884400722014-01-04T10:10:00.000+01:002015-02-26T10:11:18.063+01:00Medical Imaging Conferences 2014<div dir="ltr" style="text-align: left;" trbidi="on">
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It is again time for researchers to plan which conferences are the best to
go this year. Do you recommend other Medical Imaging conferences? In the
end of this post, you find the google calendar, which you can add to
your account (press the button in the bottom right).<br />
<br />
Link to <a href="http://knowyourimages.blogspot.de/2015/02/medical-imaging-conferences-2015.html" target="_blank">Medical Imaging Conferences 2015</a><br />
<br />
Society of Photo-Optical Instrumentation Engineers (SPIE) Medical Imaging<br />
San Diego,
California,
United States<span id="cd-details-date">, 15 - 20 February 2014</span><br />
<a href="http://spie.org/x12166.xml" target="_blank">http://spie.org/x12166.xml</a><br />
SPIE 2014 Abstract Submission is now closed!<br />
<br />
<div class="yellow">
<span style="font-weight: normal;">European Congress of Radiology (ECR 2014) </span></div>
<div class="yellow">
<span style="font-weight: normal;">Vienna, Austria, 6-10 </span><span style="font-weight: normal;">March 2014</span><br />
<span style="font-weight: normal;"> </span><a href="http://www.myesr.org/cms/website.php?id=/en/ecr_2014.htm" target="_blank">http://www.myesr.org/cms/website.php?id=/en/ecr_2014.htm</a><br />
ECR 2014 Abstract Submission is now closed!</div>
<br />
<span class="big">International Symposium on</span> BIOMEDICAL IMAGING: From Nano to Macro (ISBI 2014)<br />
Beijing, China, April 28-May 2 2014. <br />
<a href="http://biomedicalimaging.org/2014/" target="_blank">http://biomedicalimaging.org/2014/</a><br />
ISBI 2014 Abstract Submission is now closed! <br />
<br />
<span style="font-family: inherit;">Annual meeting of the International Society of Magnetic Resonance in Medicine (ISMRM 2014)</span><br />
Organized jointly with European Society of Magnetic Resonance in Medicine and Biology<br />
<span style="font-family: inherit;">Milan, Italy, 10-16 </span><span style="font-family: inherit;"><span style="font-family: inherit;">May </span> 2014</span><br />
<a href="http://www.ismrm.org/14/" target="_blank">http://www.ismrm.org/14/</a><br />
ISMRM 2014 Abstract Submission is now closed! <br />
<br />
Computer Assisted Radiology and Surgery (CARS 2014)<br />
Fukuoka, Japan, June 25-28 2014<br />
<a href="http://www.cars-int.org/" target="_blank">http://www.cars-int.org/</a> <br />
CARS 2014 Abstract Submission: 10 January 2014<br />
<br />
International Workshop on Biomedical Image Registration (WBIR 2014)<br />
London, UK, 7-8 July 2014<br />
<a href="http://wbir2014.cs.ucl.ac.uk/" target="_blank">http://wbir2014.cs.ucl.ac.uk/ </a><br />
WBIR 2014 Abstract Submission: 17 January 2014<br />
<br />
International Conference on Pattern Recognition International Conference on Pattern Recognition (ICPR 2014)<br />
Stockholm, Sweden, 24-28 August 2014 <br />
<a href="http://www.icpr2014.org/" target="_blank">http://www.icpr2014.org/ </a><br />
ICPR 2014 Abstract Submission is now closed!<br />
<br />
Annual International Conference of the IEEE Engineering in
Medicine and Biology Society (EMBC 2014) Chicago, USA, 26-30 August 2014<br />
<a href="http://embc.embs.org/2014/" target="_blank">http://embc.embs.org/2014/</a><br />
EMBC 2014 Abstract Submission: 17 March 2014 <br />
<br />
<span style="font-weight: normal;">Medical Image Computing and Computer Assisted Intervention (MICCAI 2014)</span><br />
Boston, USA, 14-18 September 2014<br />
<a href="http://miccai2014.org/" target="_blank">http://miccai2014.org/</a><br />
MICCAI 2014 Abstract Submission: 28 February 2014<br />
<br />
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2014)<br />
Seattle, USA, 8 - 15 November, 2014 <br />
<a href="http://nssmic2014.npss-confs.org/" target="_blank">http://nssmic2014.npss-confs.org/</a><br />
NSS/MIC 2014 Abstract Submission: 11 May 2014 <br />
<br />
Annual Meeting of the Radiology Society of North America (RSNA 2014)<br />
Chicago, USA, 30 November-5 December 2014<br />
<a href="http://www.rsna.org/Annual_Meeting_2014.aspx" target="_blank">http://www.rsna.org/Annual_Meeting_2014.aspx</a><br />
RSNA 2014 Abstract Submission: 9 April 2014<br />
<br />
<iframe frameborder="0" height="300" scrolling="no" src="https://www.google.com/calendar/embed?height=300&wkst=1&bgcolor=%23FFFFFF&src=ah0afmbtqmnd5grhbvbgvdcl3g%40group.calendar.google.com&color=%23B1440E&ctz=America%2FNew_York" style="border-width: 0;" width="400"></iframe>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com4tag:blogger.com,1999:blog-4790037660442250109.post-24612075423712909942014-01-02T21:30:00.000+01:002014-01-02T21:30:02.218+01:00TOP 2013<div dir="ltr" style="text-align: left;" trbidi="on">
I haven't write in this blog for the past 4 months. However, writing this blog was one of the most fun things I have done last year. So, one of my New Year's resolutions is to keep writing this blog. Today, when I came back to the blogger website, I found out that this blog still has more than 1000 views per month... seems good enough reason to re-start writing!<br />
<br />
2013 TOP posts were:<br />
<a href="http://knowyourimages.blogspot.de/2013/06/how-does-painting-look-like-in-x-ray.html" target="_blank">How does a painting look like on X-ray?</a><br />
<a href="http://knowyourimages.blogspot.de/2013/04/what-does-muse-cd-cover-have-to-do-with.html" target="_blank">What does the Muse CD cover have to do with Medical Imaging?</a><br />
<a href="http://knowyourimages.blogspot.de/2013/01/medical-imaging-conferences-2013.html" target="_blank"> Medical Imaging Conferences 2013</a><br />
<br />
Since the Medical Imaging Conferences 2013 was so successful, I will post in the next days Medical Imaging Conferences 2014.<br />
<br />
My wish for all of you in 2014:<br />
<img src="http://ispectrummagazine.com/wp/wp-content/uploads/2013/04/f3379565f961d99d894bb2b626d77953.jpg" /> <br />
Matthieu Ricard showing the scientists he is indeed the happiest man alive! Read more <a href="http://www.dailymail.co.uk/health/article-2225634/Is-worlds-happiest-man-Brain-scans-reveal-French-monk-abnormally-large-capacity-joy-meditation.html" target="_blank">here</a>. </div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-20205615536763616952013-08-13T23:16:00.000+02:002013-08-13T23:16:20.002+02:00Roberts Prize for best paper published in 2012 - PMB <div dir="ltr" style="text-align: left;" trbidi="on">
<a href="http://iopscience.iop.org/0031-9155/" target="_blank">Physics in Medicine and Biology</a> is one of my favorite journals and recently they have awarded the <a href="http://iopscience.iop.org/0031-9155/58/15/E01" target="_blank">best paper published in 2012</a>: <span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Physics+in+medicine+and+biology&rft_id=info%3Apmid%2F22290428&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Time-of-flight+PET+data+determine+the+attenuation+sinogram+up+to+a+constant.&rft.issn=0031-9155&rft.date=2012&rft.volume=57&rft.issue=4&rft.spage=885&rft.epage=99&rft.artnum=&rft.au=Defrise+M&rft.au=Rezaei+A&rft.au=Nuyts+J&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Defrise M, Rezaei A, & Nuyts J (2012). Time-of-flight PET data determine the attenuation sinogram up to a constant. <span style="font-style: italic;">Physics in medicine and biology, 57</span> (4), 885-99 PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/22290428" rev="review">22290428</a></span> <br />
<br />
I have scan through this paper before, since it is actually a topic close to my work. <a href="http://knowyourimages.blogspot.de/2013/02/time-of-flight-pet-vs-mra.html" target="_blank">Time-Of-Flight Positron Emission Tomography</a> is one of the great trends of PET imaging and attenuation correction can be a struggle, specially for the new PET-MRI scanners, so the use of new information for attenuation correction will be important.<br />
<br />
I have met the authors in conferences, two seniors Prof. Nuyts (researcher best known for Maximum a Posteriori reconstruction) and Prof. Defrise (researcher best known for Fourier Rebinning) and A. Rezaei is a young researcher with a promising career. Congratulations!<br />
<br />
<img height="264" src="http://www.uib.no/imagearchive/produktbilde_pet.jpg" width="320" /><br />
Image from <a href="http://www.uib.no/math/en/artikler/2010/10/pet-imaging-and-time-of-flight-tof" target="_blank">here</a><br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-7642842359022832312013-08-11T20:51:00.001+02:002013-08-11T20:51:52.668+02:00Not Another Ranking...<div dir="ltr" style="text-align: left;" trbidi="on">
This week, I found out about a new ranking: <a href="http://www.scimagoir.com/" target="_blank">ScimagoIR</a>. There are rankings for schools, universities, but this ranking is for research institutions, either hospitals, companies, universities or public institutes. I am not a great advocate for rankings, but at the same time it is always interesting to look at this data. Furthermore, the ranking can be seen by country and several parameters are showed: number of publications, percentage of publication with international collaborators, percentage of publications in top journals, scientific leadership, ... I found out that my institution is actually one of the leaders of the ranking!<br />
<br />
<img src="http://www.scimagoir.com/images/logo2.gif" /><br />
<br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-29105521739933999492013-08-05T21:03:00.001+02:002013-08-05T21:03:49.546+02:00Would you pay for Marilyn Monroe's Chest X-ray? <div dir="ltr" style="text-align: left;" trbidi="on">
<div>
Yes, it is true, someone bought it! For 45,000 dollars. The estimated price was 1,200 dollars. Not really sure what you do with it: put it on the wall? I guess it qualifies as a collector´s item...<br />
<br /></div>
<div>
<img alt="A chest X-ray of actress Marilyn Monroe taken on Nov. 10, 1954 at then-Cedars of Lebanon Hospital in Los Angeles" src="http://i.telegraph.co.uk/multimedia/archive/01667/monroeXRAY_1667810c.jpg" /><br />
Picture from <a href="http://www.telegraph.co.uk/news/celebritynews/7858340/Marilyn-Monroe-chest-X-rays-sell-for-45000.html" target="_blank">here</a>.<br />
<br /></div>
Original story here: <a href="http://www.telegraph.co.uk/news/celebritynews/7858340/Marilyn-Monroe-chest-X-rays-sell-for-45000.html">http://www.telegraph.co.uk/news/celebritynews/7858340/Marilyn-Monroe-chest-X-rays-sell-for-45000.html</a> and <a href="http://www.two-views.com/X-RAY/marilyn_monroe.html">http://www.two-views.com/X-RAY/marilyn_monroe.html</a>.<br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-66546158890731638362013-07-28T19:00:00.000+02:002013-07-28T19:00:21.400+02:00MRI safety week<div dir="ltr" style="text-align: left;" trbidi="on">
This last week, it was MRI safety week. This event was created to remember the unfortunate death of Michael Columbini, a young boy of 6 years old, caused by a oxygen tank flying in the MRI scanner room. This accident took place in 2001. Even tough everyone working on MRI scanner rooms should know about MRI safety, it is important to renew your knowledge every once in a while. In my institute, MRI safety tests have to be done every 2 years. Major concerns are metal objects, tattoos, wire positioning and <a href="http://en.wikipedia.org/wiki/Specific_absorption_rate" target="_blank">SAR</a>. Another very important thing is to keep the scanner rooms clean and organized, something that we researchers tend to forget...<br />
<br />
A simple test for you to take is here: <a href="http://www.falckproductions.com/mri-safety-week-2013/">http://www.falckproductions.com/mri-safety-week-2013/</a><br />
<br />
<img height="216" src="http://img.medscape.com/article/738/347/738347-table1.jpg" width="320" /><br />
<br />
I suggest here a review about MRI safety, but I am deeply concerned that there is no more available material online for free. This review has to be payed. Do you know more MRI safety resources?<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Seminars+in+Ultrasound%2C+CT+and+MRI&rft_id=info%3Adoi%2F10.1016%2FS0887-2171%2802%2990010-7&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=MRI+safety+review%0D%0A&rft.issn=&rft.date=2002&rft.volume=&rft.issue=&rft.spage=&rft.epage=&rft.artnum=&rft.au=Mary+F+Dempsey%2C+Barrie+Condon%2C+Donald+M+Hadley&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Mary F Dempsey, Barrie Condon, Donald M Hadley (2002). MRI safety review
<span style="font-style: italic;">Seminars in Ultrasound, CT and MRI</span> DOI: <a href="http://dx.doi.org/10.1016/S0887-2171(02)90010-7" rev="review">10.1016/S0887-2171(02)90010-7</a></span><br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-61012013591206871112013-07-24T21:02:00.002+02:002013-07-24T21:02:30.005+02:00Best/Worse Movie Trailer involving MRI!<div dir="ltr" style="text-align: left;" trbidi="on">
<div dir="ltr" style="text-align: left;" trbidi="on">
This trailer is the most funny/weird/amazing/strange trailer I have ever seen using MRI! The movie looks so bad, that it might be good. I have mixed feelings about seeing this movie... I present you the trailer of "The Drone Virus":<br />
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<iframe allowfullscreen="" frameborder="0" height="315" src="//www.youtube.com/embed/snGc7b5fYL4" width="420"></iframe><br />
<br />
PS - And no, there are no virus in MRI scanners! </div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-28656628245608369892013-07-22T22:19:00.001+02:002013-07-22T22:21:07.231+02:00ERC Starting Grant Winners <div dir="ltr" style="text-align: left;" trbidi="on">
<a href="http://erc.europa.eu/" target="_blank">ERC</a> awards the most important grants to researchers in Europe. For young researchers (2-7 years after PhD), the ERC has Starting Grants. The goal for these starting grants is for these young researchers to start their own group and line of research. This year results have been published (<a href="http://erc.europa.eu/sites/default/files/press_release/files/press_release_stg2013_results.pdf" target="_blank">here</a>) and of course, I checked which of these grants are related to medical imaging. There were 3329 applications and 287 researchers were successful. The ERC grants are divided in three big areas: 1) Physical Sciences and Engineering, 2) Life Sciences, 3) Social Sciences and Humanities. Medical imaging fits in Life Sciences and more concretely in LS7 - Diagnostic tools. There were 8 starting grants related to Medical Imaging:<br />
<br />
Daniela Thorwarth, Erlangen University, Germany - Biologically individualized, model-based radiotherapy on the basis of multi-parametric molecular tumour profiling.<br />
<br />
Julien Valette, CEA, France - Exploring brain intracellular space using diffusion-weighted NMR spectroscopy in vivo<br />
<div>
<br /></div>
<div>
Galia Blum, The Hebrew University of Jerusalem, Israel - Protease Activated X-Ray Contrast Agents for </div>
<div>
Molecular Imaging of Vulnerable Atherosclerotic Plaques and Cancer Development using Spectral CT.</div>
<br />
Rachel Katz-Brull, Hadassah Medical Organization, Israel - Citicoline and deoxyglucose as new molecular imaging probes of DNP hyperpolarized MRI for cancer and neuroimaging<br />
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Niv Papo, Ben-Gurion University of the Negev, Israel - Developing Multispecific Biological Agents that<br />
Target Tumor Neovasculature for Cancer Imaging and Therapy<br />
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Francesco Ricci, University of Rome "Tor Vergata", Italy - Nature-inspired theranostic nanodevices for tumor imaging, early diagnosis and targeted drug-release<br />
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Mangala Srinivas, Radboud University Nijmegen, The Netherlands - Clinical ultrasound platform for the quantitative and longitudinal imaging of theranostics and cellular therapy<br />
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Jaco Zwanenburg, University Medical Centre, Utrecht, The Netherlands - Towards understanding cerebral small vessel disease: Innovative, MRI-based, functional markers to discover the terra incognita between large vessels and macroscopic brain lesions<br />
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Congratulations to all the winners! But I still have a favorite grant and therefore, one of the papers related to that grant can be read here:<br />
<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=International+Journal+of+Radiation+Oncology+%2A+Biology+%2A+Physics&rft_id=info%3Adoi%2F10.1016%2Fj.ijrobp.2006.11.061&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Hypoxia+Dose+Painting+by+Numbers%3A+A+Planning+Study%0D%0A&rft.issn=&rft.date=2006&rft.volume=&rft.issue=&rft.spage=&rft.epage=&rft.artnum=&rft.au=Daniela+Thorwarth%2C+Susanne-Martina+Eschmann%2C+Frank+Paulsen%2C+Markus+Alber.&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Daniela Thorwarth, Susanne-Martina Eschmann, Frank Paulsen, Markus Alber. (2006). Hypoxia Dose Painting by Numbers: A Planning Study
<span style="font-style: italic;">International Journal of Radiation Oncology * Biology * Physics</span> DOI: <a href="http://dx.doi.org/10.1016/j.ijrobp.2006.11.061" rev="review">10.1016/j.ijrobp.2006.11.061</a></span><br />
<br />
<br /></div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-63073052866277461132013-07-18T07:31:00.000+02:002013-07-18T07:31:01.672+02:00Right Dose Image Contest (by Siemens)<div dir="ltr" style="text-align: left;" trbidi="on">
<div dir="ltr" style="text-align: left;" trbidi="on">
Every year, Siemens organizes a Medical Imaging Contest. The idea is to obtain the best CT image with minimal dose. This contest doesn't focus only on image quality, but also on the dose, which is displayed in top of every image. There are always very nice images from different body parts and the competition this year is already open. Just take a look at the <a href="http://health.siemens.com/ct/image-contest/gallery/index" target="_blank">gallery</a>. Of course, as it is organized by Siemens, the images have to be acquired with a scanner from the SOMATOM® Family and post-processed with syngo® software. Learn more about the challenge: <br />
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<a href="http://healthcare.siemens.com/computed-tomography/technologies-innovations/ct-image-contest">http://healthcare.siemens.com/computed-tomography/technologies-innovations/ct-image-contest</a><br />
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<img 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3Sj7M5BhEo+JSdRXf4burrjfuMOU3RkEzSOcw1FfVI/oQglqJkFJXFjY7e94oPHmWkykC5yKVypIWSGU7MGO1AAXyG222vG+njoy7E42X118Nb9/1NKxCtqK80kjyky7lqIAqhfAGngfK8eM0dBC7AMo2PPPIvg7Yqc11+JlBUlT3HcVXPve/HGIk/U1dmkLrx6VJbVt8yO/NY6scTTUIrT8A6sUtGNXS+tRow105SmAPBo1R/GuDtjGYnLE6YiJXNVH+szcEDsbNDsMKcfWgPSq2COSN170DzX8sdO/R705VRc7Kw1udUOsaiFFjYEganJIvsF99xgrVKcE5rf89ed4jqrcYychSfLwsdQVPLkOraUvq80/g1av7H0xVxQr6QGO3G1gjjfbY99/cYac10rMOWfL5aOKwRZlt64IXVela2oAYjQeFcwtNrhIButRWiObsAfKsUUK1NK7aWnjt18yE0L88dME/V59/wDHcH5DGpVqjtXG1m/zP54ser5WSIkupUng8j5mlP3D/XFT591uAoF7V+GOtQcZxvF3Lo2ewZPDudWKVG1HQxo0aO90TR7fzw0+LsmrQ+YQpddLBhxTGq+YNn57Xjn2VclggHcbHk3/AL+WHPxaSmWRWb1EJsSSTQ9Wo9+APuxzMZTyYqnKO1tepXOPbiJfiPKIwUFdpIkLbcUCpG/IBXHL+oZMxOUO4/VP7Q7HHV+pvqjhBoFIQW7j1M7D6bEH78KXibp3mIGWyUG3H1PHH/xjVWoZ6Sa2r0FrwuriZgwA4McoxBgwYMABgwYMADYkO1/L/f1w29WqPpuXhUNqm/rnsgixagjvx7VhfzPT2A06SRV2Dvhp8YZVqy0aqihYgbUUGYgAkUb7Ab8G8d/EuLq0Yt6Xb8F+TqZHdITpoyTsKAFcbD3/ADxtyGTZm0wqDv8AE3v8rxYnojE/1pZttgDtvuLO9DD30DpwjVTREdVtYvml9WwUH25vnGT2j7Uhh49nV+RLjbaUHRPCgjPmyUzruGdbXYbBRVA/MjDBmVAUlgxo87EEaTYOwOnY9thvibEFOorfqYEcfq0Kpd6HuPneKvqUayejVQog7i9/1STvXB57d728lLE1K889Tb9ufUW1hB8a9dD5hkj9MUZqhwzD4mIHHsBVY2eGuuyQKxcgxFr0v2Nb6WAsGuw5BwzJ4Oy8jgmNHO1Krb/U8V740dX8DRyAapnVf2RpNb0KF37c3weOB244/D9EqLT/AGVtNFlN48SMIfJZms+rULC7UBf+HzPGLjwp16bOMXjgAhWQgyOBuG/UWuDRB2B4IvfEPoHgSOJdGZLSlNlX0lQKFcbnc/L78WXiDxDlslCyUSV4jUURZ342UGqqvuxTLobZKcdeOvkufuVtp7EJH6aJVgkgRQQ5j2JP/pjYD5UQfbY45RLLZs98PnUJT1Nnf4QKJLfqLyCCe1bYUs1mUjYrCPSLAc/E3zNcfTGi8sihuXkVTTtq9CDFZvTyBf3d8eMWeQ6siNqky6SiiCCzrzwQVNgj8Mbc/kFeH7Tl1qNSscyk7o5vSdzuGAJ22FdsU5nezRXbTQ8eH/EWYybM0D0GFOjDUjj+0p5+vOI/WeqS5mTXO2phsNqCgcBR2GIN49u3+H+mGyq9yNx5AvGVO4rY3sePpjzeMg4nQgfum/pXz0SCObROoBQ67Dn2sjY1xVb9/fDn4A8bL1SafL52GM60GnkrosBlN7A3Rvv9wxz79GLRfaHV1uVo6h2/WHazxYrcC8dYy/R4I50zcg8rMCLy2YoSJB6fW3lnR5lCvv3vaqajgnZIsSb1OI+MeifYs7Plr1CN/ST3VgGX+Rr51ilwxfpE6l9o6hPLodASqgSIUalUAWp4vnfeiMLq78b4tT01EZL6U+mVWCq+k3pcWp+RHcYf8r40nkIUlYlSM6Qo3Yi2CgnddtgOwUDc4SOl5CYuAsMtmqPltt/Lvhs6N0yRJo3kiYAOCwf0hlHI3FCxY+uNEOhdN5rX1Lqdi06b4nzr3eZlPPDcdzxi6i6jmtJueYqOfXe99rP371hX6QrlwiKb4AN2R2B2u62rucPOW8OSFR5xjUD1H9Z6FWKuiNr3PvjRXqUKdllXgi+8UeOndRnmmWKTSY5AVLEAWBex2NntxeFjqGWqRgq2FZgCBXfgd6Hvh9g6WYM0sjSqViDeo2NNgKKUciyNrvfviHH4ZEkjtJNYtjSgazd3sdgbJNf54poYulSqOS0TWxX23/HyIjOMZNrYV3gzI3MHIsp6gtFj/wBxrsv5YtPEE65hyW/5UdyGju1haXbuxpP4vbExhBl1TSKbk6bJk0j0m+BZIB+ZvthfzsilSkdhFIJ1AWzbgb1YAFbWdxeKoVJYjEdJu9F+fuEW5zuVU0hfzHl2Zt62As7Vt2AoAfLGiRAQVFm+xr7/AJ8b4lI9LzYFmh8z+f4YiEfeB9CR9/5478Yq3cabHN+udPMMpH6repD8j2+7jFfh98Y9P1wFwDcfq+7hu/tv92ELHDxNLo6jRzasMkrBgwYMZysMGDBgA66DqIUAWxAPvvtWL3xTtOFApY0AAevTe7b3uSdxzhVUuJUZvVTqSvAABBN0Pa8XfizIFsyJXLKJI1YaTVgcm/h2UWQLvaucb8XG1eCb3O33O1OT6RfU85Z0B1EhgwO1i/kQADtsbxdwyrROxtQ1KbCngg1td3298VWSycEukBkNsASSAeTdFqNVRrbc9sTvs8a7LYrZabnsNm/x+Qxw8RTVWdpXuuOhS5XZteYj1DTq3FBj34Gw3/lzjXMul6vYndQbAPF3297PzxryuZRCTIwFGrBHI+vN+1DbAepLsBRUX6GI0kb0bJ2PPI74zqm4TsiblhkZByFuu987gXbbD63jMzcWh9LBwuzXQJI54I43FnHiPNg+i13Csq1QINURwNvf/O8bmWjpDB962/VqwTdgkixxeM7i4TUt/OhD1NU3VWcVAsgbyypLLtdbBa0m+SbHbvil6t06OZGDrXpoMDR+W3PNneyCNsXLOFIIYCqBNkhgpBIFivlR98K3jGcielZhQPBIuySDz7EY24aTxMko9l+hixNRYeDk1cUHlly0oy76RlzqCaQwSQj9Zi+7PxzxtthZ6pDolYDi7H0O+HGePVzvXvvX44i6R3Ax3IYV5bNnKftNNWy+YmasMXhVA8PUE3J+xl19h5boxJ+YF19TicYx+yPwGNmXQWQABakbCufeuR8sEsHdbRF7SSf8fMStWMl8N/lr+yPwGDy1/ZH4DB7o+JHWK+HzE/Vg1DDh5a/sj8Bg8tf2R+Awe6d4dYr4fMXei9UbLTxzRkhka9jRrgi+1jHWOm/pQgdWDFY2Ow1A13o7bf4DbCT5a/sj8Bg8tf2R+AwksCpO7Yy9ppf6+Z1nL9Ry2YQOsivXGpjqWjueCT82Nn54miZaWzGzA2W9AIJ3/Vqvrt9ccaVQOAB9Bj3rN3Zv374rl7Ob2S8h+tI/D5nYn66gA1SoGB2uwCNwNOzX3s4jr1uLUAXDluBrX7j2B7c2Bp4FY5JjCKAbAAPyFYXqyXxeX7I60j8PmdjgmGszaAFJFMBY9N7sBRFsfi9lF/ONlereYmlqkY3akWDR5ZjsK2NX7VzjmMefkA+J6+TEfyvGyHNH9V2A/wC4ir574bq9r/YjrNfD5nVIjFGCZdII4A2UdgVG7Gux+e1Y0dY6hIFBTUtsLIAD77A96tq9/fHMZJ2rdmP3nGxcw5Hxt/Ee3Hftgj7Pa2snrRbcvmdA8NzE+erj44u5vVyo354NYWZc8FFICB/ie98msUa5hgfiazteo/njWb9zX1xso0Mkm3vLI+1opt5PMt5M0QLYbV8t8aJc8SKB9608k/M98VhY+5/HGLxvUkWdcx+Dz/RYCcEMpOxUjf5g3XbHNW22PI2/DDzeIzRizsOfYYyYml0rTKavtRT/ANfP9CdqxnVhv8tf2R+AweWv7I/AYze6PiU9Yr4fMUQcZxadfUBkoAek8D5jFXjNOOWTRupVOkgpcTocOekXfvewP5+2GfomY+2QHJzsdSi4WLbIRdADY3ZqrNg1WFWOKyD8xQGLvpeW8shzZZbIrYWL7/4kY7ntGNNU+EtqttuvtxO1JOSN3SumhCHmSwp3UkqNubrnj7saupeIfLYiEqTYYMFsLzYojewdJv2xL8eq3lxzqoCzACxuNWnUSp9j/l9cI4YUfw3O2MuEorFP3itr3cLc/kTMmrnqTNswYsb2IG4NX3+uIE+oeoOxPJFkX9MSEkVbJ7gj5743ZLp5mZQtOWPpVWBf+HkY6E4witbIR6kOLrM67XIEHBX4he4q9iLqwfnVYvG8SzRokh9aqqnalbetwa70Lvi8U3iBJI5NLLIlN6wykFdqIo124xv8ShPIUqSpZUUKx3bQACaGyilvngr7442IpU27uN+dzRW5NX1GnL+OIpKCFgTsVfn6cUf+6gaxo69PqZN9VLXbbcmh8va8c1y8ZZgmwvbc7D538sNakramVJSprVG2paobBu5GMeFwkKdZSg+Jz8fUzYd37vUtOmlTNGHXWpcKVJIBBNcqQe97Hti/610WALm//pzlxDIFjlLSESf1mmqkJ1HTbWnthY6TIPOj1sEUOGLEE0FN8KCe1cd8MnVeqxTPm4pMxcbv5uXkZZGETarK0V1qGQlTQr0jHUknmVudTjU8uR3t5cCB1HorvmXTVCqpEsjSIpSNU0KQ2mtWo2Nqsk8YIuiiEwzGWGZJJdKLTkOooMWBA00WA0tR+uLHMdRgaWcedcU2WjjMio/9W8QjosGAJUsm9diMaM4kSQZICW086VjIUYLsY7KgAuV20g0Dd7DC5paJ86DOMbtq3j3/AII3XPD4E2a8qSK4mkfyVLErEGob1osAi11WBziP1bpMMeWy8qTBnlViV0v6qcqatQBpqjZ3IsWMT0zmXObz0hzChJ0lCNok3MpsWAljT3v7rxWZ7MxyZTLqJKkhDqUKt6g0hcMrVpqjuCQdsSs2nO4iShZuy37+8k9KSD7HNLJllkeOWNQTJKtiTXdhHA20iqxqz/TkkhhnyyMvmSmBotRapNiuhjuQwYbHgjk499Mkh+xzRPmFjeSWNgCkhoR6wbKIRvqFVjYesRQDLR5cmVYcwMw7sunzH9IAUHcKFWrO9knbBrfQOzlV7Wt3Xvfx2EXN9AKrIVmikeEXMiarjANEgsoVwDsSpNYMz0Dy0fVPF5qRrI8Pq1BW016tOgtTA6QbxK+1ZeH7TJFKZGmjeONCjKUEh9RkJ9JKjb0k2d9sb871DLtC6yTCf+pCwhoiJo3ocy6QCinVtbWKGDNInJT1/JBTw25AHmRicx+asHq1lK1c6dAYr6gl3WPPhHLxSZgJNEJFZHO7OtFVZwRoYE/DW/vi3m8RI7CdJoopRGAVOVV5NaoE9MmndWrlmBAJFbYp/CWYjjzAeWQRqqON1ZrLIyADQp9739sF5OLuRaCnGx6i6KjwrmTmIYomdkIbzCY2FEKBpLPsR6hYA5OPeY8MOhlRpYvOiVnMQJLFF5YEDTderSTqqtsecwYTko4BmELrmHY+iStLhEBsp206q5ojvti2k6jljnszL9oURywMinRJ8ToEojRexFk+xxGaQ2Sm9tvHuKPpnRhOFVMxEJnvRCdepqvYtp0KTWwJ32xjJ9G1xLK8scQdikQk1XIRV/Cp0qCQNTULwxeHuuQQ/ZiJxEiD+ujEBZ5Hs+rXpPpII7ggCqOKiRoJYIYnmKtA7opWN2E6M2oFBQp7NaWrkb4nNK5HRwstjfz+X74GJvDrLNLEZo9MC6ppDqCx71Xw6mNkAaQbvbGjOZIwlfUrpIuuORbpxZB+IAgggggiwcXvUeqpHnc/G5ULKwAdoxIqtGQRqQg2ORsCQaxR9bzuvy1EqSKimvLh8pV1G2AFAnfeyBveGhKUrXFqRgk7c6/gnHLQwwRSSxedJNqKIXZERFbTZ0EMzFr2sAAYw2SjkLyxsIcsugEyFmp2WyigBnfcMeOBZx5izcU8EUUsnlSQhlRipZHRm1UdALKwJPYgg4yssHlPljNQEomSXy20k6dDqyi3A4Iaux2F4Ne8jR6aW+m23jtMw+HWeUxeZGCYvOjYk6JUomw1UooH4qqiMRM50oIiSLNHJEz+WzqHqNgAdwyhiK3BAN0cW+V6ll/MC+bpiiyjwK7I9yM4e20qCVW24O9D7sVwmi+wGLzR5vn+YE0vuApTnTpvfVzx89sSnK5LjC2nqSuq+HlGZEGXlVvQHbVqURjy1dmZmUDTRLbWQNudsVr+H2ZovIkSZJpDGrrqUBxRZWDqGWgQ11uMXTdZhGZ88PqWWDypE8uzF/VqhJDjRINS3QJsXiG/UkDwqc0ojWbzGbLZcRGMgUHHoBZvlRFe+FvOyGcabb+ZCHRY9UJ+1RPFJKYyyiS1Io/CU1EGwAwBFn5HEfxDko4cxJHFIHVXYcMCtMRpOoCyK5G2LHq3UISImuOXMLNreSKIxBkFGmBC6nLb2F+84r/ETxtmJJIpPMWR2k+FlK6mJ0kMORfaxgi3fUSooJO1hR8Q/En/AGn/ABGKvFp4h+JP+0/4jFXjDX/yM62E/wAMed51FAIRqk3YixqtSBXa+598U/UutM/pshb9+frWI2ezrO1uQPl2Htz2xXyHsRbH52T9PnjtKlZ9JU1l5I7k6m5D9nswG6NAxI9MuhaBoUW1E76e4F0Mc7zeZ0k2Due/P1GOieEJIp8hP0+SWMEDzT5e7qCb0nUoBIarIJ02Pu5/N4azjZlcuYWMzXpv0qwUbnU1KABySf8ALHKp4yNJzgtuZv6Myym0tCLHmi+2+w9+T9/AxbZedeGUqw9IYsNNmuSdq+fGJkvg/L5csuc6lGjq2lo4I2kcENRuqAFb3/LE/wDpPpmXKtloJ826gjVm9or34RVtm/smh9+L6eNvG1m2/DzIjUa2mYCJ8vIcw/lLAg8mdwWEnJMAvZwPiUD4SD2OErq2ZDueTtd3yTuduBfsMS+v+Is1myiymo4/THEiaEjHsFHftZ3xUzRkGjzjN0knF8OG7n7iSqXRs6chLGhZ0mq98WXSpY0UqXUG7O4HYcXz9cR+m5d116lK6kKrqFWT339v88dc/Qp09Wyc5kiQn7RXqQHiNONQ4vEU5OCzFFej0lPKxDyhBRnU2o5YGwPqRtjQk6uwCsrMxoAEEk9gAMfQ6ZCP4RFHpPI0LR/ljMXSIg+0Ue29hF2/li33t8DD1fDizieQGYhbVEJEYbEgHf3BFURxsduMQ+r9QdyWnkshf1yBQBGwGwUb8Acn54+gjkU/YX+EfliPN0uMg3HGRe1op3+8YqWKle9kT7hG1szPnD7bH+8T+Ifng+2x/vE/iH54+hP6Ki/cxf3aflg/oqL9zF/dp+WH97fATq6PxHz19tj/AHifxD88H22P94n8Q/PH0L/RUX7mL+7X8sH9FRfuYv7tfywe9vgHV0fiPnr7bH+8T+Ifng+2x/vE/iH54+hf6Ki/cxf3aflg/oqL9zF/dr+WD3t8A6uj8R89fbY/3ifxD88H22P94n8Q/PH0L/RUX7mL+7X8sH9FRfuYv7tfywe9vgHV0fiPnr7bH+8T+Ifng+2x/vE/iH54+hf6Ki/cxf3a/lg/oqL9zF/dr+WD3t8A6uj8R89fbY/3ifxD88WGR8UPCuiLNBVu6DKaJ5K3ek/NaOO6/wBFRfuYv7tPywf0VF+5i/u0/LEPFX2olYBR1UmfPjZ+MkkyoSTZJcWSeSd+cZTOx/vE/iH54+gv6Ki/cxf3aflg/oqL9zF/dr+WGWLa3B1fH4mcKyY1k6PVpFnTvQ9zXAx4+0L2ZfxGPoKHpseg1HGL5pF3/ljx/RcX7qP+Bfyw8cXdu6GXs+nxZwK+/Y8Y3JETwCfoMd5HTY/3afwL+WOd+Io9OdzAA0gFaqgPgQmgMWwr520kWR9mU5b35CRNGV+IEbXvtiu+2R/vE/iH54v/ABTNphZiKOk6Te/tuO2ObVhK1dwshansyEXbMxq+2R/vE/iH54Ptkf7xP4h+eFWsZrFPvb4FfV8eLLLrkqsyaWDUDwQe/wAsVuDBjNOWaVzZSp9HBRW4YepTDUbAA4333/PFahPrZWBAQ/Ii6UbffziV1MrJKqwCaRm2Kkbsf7Kx21ffeJ58ORZf/wC/nCOSAMrl6kzG+5Db6IjXZiT8sbMbibyyo2VJtsW4ZNJsVY4+WO25fxHDkunZKTMmWRc0hD6BRAAsj4uDYuquuALGEhfCiyN/VdO6iECXbyRq778qrIAzf2F5w6dE6ZGcouUmy+cfLs2pIs3lXVoL2ZhNCCEF3VgGidqOOTNxlrbYVxuijzeZ8OyhjpeILelUSQM91uNq9/ScajN4efUugp6dmPngBgNioU16u4PcDnGeo/oglZj9hnSRRv5cxCSKD8JtbVgd9/TxxhVzXgLqMerVk5SFNEqA3HsFNkfdgUFuk/EHJ8B0TwHkMxHqyee02bCa1cg8UbYEXYxD6t+jLNqlLNFNoYaGGoE3ZK7gihyDZPbCMeiZlCdeVzCsKO8Lgj2O64tOmz9TDDyY82VBB8sJJoOk3RFVzi3LOMdJ3+ZN0Tes+HJYIqaOWVwAWe/TETZC6a1ttVk7XwK3x0n9COaMuSmPZZ9Ne39Wl/zxWdM6/wBVGpXyErqWLBgNJAIHpt29Wn4eO3yx0XwcGMTloPKJe9JAUn0jc1+F/LExrTfZkvrz+iZPQsZ8szxuI38uQj0PV6W5FjuPcdxeKbpPU5mWJ9K680x0IzHREsYN7hbd2Nntsf7O7Sq1/piJJk4SqxGJCg3ClRpXngcA7n8cNcpKPL+KNau3lAaVy5+PkzyNGwutwNNgj4r7Y9z9XlOWzM/lLcPn+WisWMhhMgW9hRYoNhdXycXT9LgYqWhjJUAKSinSFNrW21Hj2xiSFV2VQoJJoCtySSdu5JJJ7knAAtdeRo8hPOmYlaQZZ5VcNsWVGYMABpAJ30jbjbE3q1xRx6HazmIVJJ1Eh5VDAk+4JGJQ6fDTL5Uel1KuNC0ym7DCtwbOx9zjfLErbMoYAhhYuiptTv3BAIPasAC6/iCULq8mPeHMTD+sPw5dgpB9HxNqBHYb3ff3n/EixF20a40SViV1arii80r6lCEkAjY7GvnV0clGf/TT4WT4R8LkGRePhYgEjg0Lx4PTotRcRoJCD6wi6hY0k2R7UN+wA4wAVU/W3SQRPEpdmjVdDMy+tZXJal1bCIgVdkji9t+X6o5ljjlhMXmLsWs6nGssikLQIChqfSWDbC1IxvyfRIowwKq4fTYKIFGj4KVVCijZurs/IASo8jEpUrGgKilIUAqNxQ22G549zgArp+rETeUqqQWZNXq9LrGZab06TsKoEkWPmBHXqMx6fDP6POdIGJo6f6wxg7dtm+7Fz9hi1+Z5SeZzr0jVxpPqq/h2+m2MjJxhPLEaeXVaNI017aaqsAFLD1J43cOoZDmpIwQxLLphMuwIrT6CoF/rXif0LPPNReHQpSN1azTa7JX1AG1ob1R1CuDiYuWQVSKKbUKUbNWnUPZtJIvmtsYy2Ujjvy40S6vSoF1dXQ7WfxOABQ6F1WRoomlaR9SZMkO+ks00mkyIU/8AT90JolaKqDvLz/XZGi9KKnmZZp42Eh1DTJEoVvTsSJLJBNGxR5wxLkIgEAijAQAINApApDKF29IBVSAOCAe2ImX6HEsjSEByystFEApmDtYVRqJYKbPt8ySAQ8z1Sbzoo1WNT9rMMm5IZfs7zDSaBB2/9vsdveeZjNmB5zRrFlUkUgjSrFp7ZgdmFIux9sW8mUja9SIbYMbUG2AoMf7QG1+2PE+RidtTxRs2wtlBOxtdyOxJI9icAFZlOvvsTEAokhhkGo6g8qRtstVpBkUbm6DHtv4i8RyMEXyKnYtqiOu4yqqxU0lsxLABltSLYE8YuWyqF9ZRC4/WKjV3HPPBI+84I+mQadHkxab1adC1dabqua2v22xKAkZZiyKzKUJUEqeVJFlTW1jj7sc28UQj7dPtva//AI04/wBcdPRQAAAAAAABsABxXyxzrxGoOcn3HK2DW50JXPA/xvGrDys2+40UdpzXx64WJF/WY19w3I+f1wi4u/F+d8zMMAxKp6Rf86rb2/DFJiqvLNMrqO8gwYMGKSsMGDBgAe+jrO15fprIt39qzcasBGv9qd6IStRpQt7VfalzfUxlmljyTehhpOYZR50oPxFW5iRuwFEjck3jX1XxLnJI2ilnbQ5tolCom3HpQAV8vlijwrTbvIZs2jMt+02x1fE3xDhtjyPfE6DxDm0rTm8ytcBZnFf+7FXgw1kRca+n/pCz0QI8xZPYyoHZfo2zD6Xhp6f+maQACbLnbkxS8n/tlV6+5sctVb4xnQflt8xhcqC7O7ZD9J2WzFqM02Vc0V+0wqyavm0bAV9SMbzmurSm8nmum5jf9SxWnj9Y99ud8cAYVV9+Pn9PfGzLpZ2NH3H+mGhSzSshlrodzzuZ8QJuY4yg58pASPoNdn8O+F/OdW65rUJ9sQuarylAJ+RZfT9+F7osmYJSHLZmZZKpSsjVuwrYmgBe+OlvmmyUTCRsxns0kep1LPSe7FV2Va+pr3xbUTozy2i2WNW0siy8MpnsvEz57MvNMx9MaBTW2yilFtzZOwwu9P8AFOb+1aJpZDLrdjEhQxxBQW8tiFJYhVNkNsfnYxzTxL4izk04kmLKy35aICixC+AAAb7Wdzhs8MdHKdOmld1V2kEUrhgxgh5k06SQWYEDb3374h07K8n4c+ny+cwitjR1aPOygKDKTQIJNer1EX/LFD4267msrCMwjM0ampV7lW2tTWzqdx2374sug9SizkSyxWULMgB2KlWoA97pr+mN8uRWWNopKKMGUg+17g/I3X3nGJOUXruBJWOUde8S59YBnMn1OSbKmTyyGjQSwtVgSDRp3/aHuMUnT/HXV5pFiizcjOxoDTH9TuU2AG94vM54fbLJm+m2B9qljfKu+yvoJtGbhWXbc8188Mv6O/B0eW3MivIwJklQWoC7+VGSKYA0Xet/SBwcXSmk7FWU5/n/ABx1eGVoZc26yo2lkKx2D/Dv92PEPjzqznSmalLUTXlpdDnbRjrb5/KZKVlYiIMoaRjXq7K9tzXG33+2NDdSy2aizUmXIkaBS5aNQ3pVSQoAqyfe+3yGIjWutg2RI5ZN4+6opYfbZPSaNog3HOxS+ca2/SL1Mb/bJK9ysf8A4Ycuv+HMv1KVc5DnoESRV8xHO60NzZINn9kjtzWKaefI5OO8qq5rM7ASSJcaVzpDbE8b0fb542RlTlHsx19Pm2NkTRr8M+LOq5vMRQjNyr5jXYSOtK/8wrqXcgX35x58UfpIznnMMpPLHChKeso7Oyk2zHRQsVQG1DF/4E8UT5l2fOJD5GWQsJhGFMDOQo0kGqYarFb6e2FzN+Bmy+YzKSXJCkDyQug2lkGgxLQs3qcAgcg+xxkm3GXaEcdCtb9IvVBsc5ID/wBkf/hjH/Efqn/Wv/DH/wCGN/SPAWZmZzKEjYIX8uZ9DyMQSAF+Ie9muMLfVOmSZeTy5QA4AJAIYURYpl2YEb2NsMncRxaL3/iP1T/rX/hj/wDDB/xH6p/1r/wx/wDhhWwYkgaf+I/VP+tf+GP/AMMH/Efqn/Wv/DH/AOGFbBgAaf8AiP1T/rX/AIY//DFp4d/SJn2l0y5tyCPT6U5sbbL7YQseo3KkMOQbGGi7NMlOzO3DxPmwNX2iRr7Uor8F4xXdT6m+mSaYnWF1X+0RsPlsK9sVXTurJNEh49O4O1EGjR/W+mKnxfnNMRjHLNX3f5/UY6cnBU8yRrbio3Qmu9kk8k3+OPODBjlN3MYYMGDAAYMGDAB6Yk4xjKnGCMSAYMGA4ACse5ko8g7A7G/uPzGPOo1XbGLwAW/h/qpjeOKRryrSq0kbKGU2VDGiOaA4rjHVfGvggiWL7JHFuyqvoUelgeSBWzLt8mrHFEGOxeFZZsx0QMjP5+VZ9FN6mj5FHm1IJH0+eBJxanHbztLIMs8zl4Oh5dpZpBNm5E9KGrZrvYdkBok12+7HFs91CWd2klcs7Esx4snnjt2r22xbu7TJrlbzHJrVISSe+7Nf+zioWJjfY39wH19sblQySvOV29o8k77STls/5YpPQSNJcXqYEbi+w+mJ4ieSLy/MRkiBMahwoonU1WAWYnfcXt8sU8YB9OxYnYjc/liTlpbhcaQd+Tx3FD7zf3DDya3bbjxfE6H+g7rOmabKOaElSoD+2tKw+9aNf2cdKkmUTGMN67Pp4NXdC+ffb2x86eFc60ObhnB/5UiuxJ/Uun/9t7Y6/wDpBlEOdSdCR5iJID29J+W4BBG2OTiXmk8otN6jV1HpEOchUTlWawUZAbU3zztXf6fdin6r1KPpWTFAsUBCDnUTfJ2I5POwGFzMeM2yecGWmYNA6rJDMnppZOBIOHRSGW+QBh9zHTcvnYfLlUOjLyObFeoH61jO2nKN+eIbmfNc/VXlmaaYlnfY+wHYC+FHAHtjoX6Fs4Is5JlZT6J19IO1uAdvqVLfw4oPHvgWTIPqUFoCdm/Z9gTx/v35penZhytxsVmipkYHcURRHz/1x0YRU4NCJPYTPFHRTkM9LEygqHLICPiQm1I+Xax3Bx4ecOF9AUVXpPG/zOOht1XI9cgVM3KuWz0a6UYkKNW16STTox/VNMN/kcUk/wCifOrIP62BowQGdHNgVfwkDcge+LqOKUY5Z6MaMrGudWg6NKFBLZuZEBrfRHuRV8Eg/wAWPHUurZnJ5CPKBx5yxt5lgasuklf1Skb6wNyTem1A3G1p1SeODSWB8rKLoyyPR86Y8P7FE+L5kAcYRszPr9LlmZmZizHc6tyT7kk3iegVa757h3FETw9kZ581GmXJ88tave6VuXLdgoF3fbEnxA0cmYf7OGaJSVDsfjAJpgAKVT2A4GGrw0Rkcm80RAzGYYwCUi/JQbvQ7Fj/APrihzT+nSDdHk8/d3xbhsJLM3PYRGm0tRalSjWPGJefysiEF1IDXpJ4ajRr3o7YiYw1ElJpGeSswwYMGEIDBgwYAJGUzrxm0au+POZzLSHU5s/4fT2xpwYnM7WJu9gYMGDEEBgwYMABgwYMAGcAwYMSAYxgwYgDODGMGAD0lXvdfLnHb+hZBsqcpIKjRELNGx3A92PG4J+8dqxjBhKj2LnnUsg9GIuazGXWUP5WvLiVmVR+uurYEXx8vbbFN1rMiWUhEYaj6BHZ1A9tPINdsGDHTxsVB5uCLamhTI5Rrrce/b3wM5quAdyBxgwYw3ZnuWWR6mI8nm4dJLzmEBtqCxszsPeydPHtjtHii36dk5Pi/qIixPe05v67YzgxVLaueBZS2iRnUk6jlURRqnyw1RdmKX/WIP2uxH0xO6P4tbJ6JGBaENUgAFoD3X7+R3F9xjODC1KcVUtwl/62ltrpnXc0kGdgB9MkUigjuCD/AK1jhXifwRPkp3eKN3h5VlOo0f1WHP3gdsZwYmE3DtIqTsK3U8oGHmpup+IAfAcRYeqzoKSaVR7LIwB+oujgwY1VXfTnYn9wqbnxPec6xPK4aaV5GG3rN19PbFj0lPOZVUWWNBduf9/54xgxqws3GTjuQ1JvNYdM3lyXy/T49BNjWSNtXxNffYaiaqwKxCk8a5eKdIctk8q2W8wKzyoS7gsBr1crtvXYVjODC4yT2dy8XfXyLK0ma/0pxQ5WQZXLZeIRsokVyGaUai2oBy262O4OOeYxgxz47LmaTDBgwYYUMGDBgAMGDBgAMGDBgAMGDBgAMGDBgA//2Q==" /></div>
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Radiology&rft_id=info%3Adoi%2F10.1148%2Fradiol.2303021726&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Strategies+for+CT+Radiation+Dose+Optimization%0D%0A&rft.issn=&rft.date=2004&rft.volume=&rft.issue=&rft.spage=&rft.epage=&rft.artnum=&rft.au=Mannudeep+K.+Kalra%2C+MD%2C+DNB%2C+Michael+M.+Maher%2C+MD%2C+FFR%28RCSI%29%2C+FRCR%2C+Thomas+L.+Toth%2C+DSc%2C+Leena+M.+Hamberg%2C+PhD%2C+Michael+A.+Blake%2C+MRCPI%2C+FRCR%2C+FFR%28RCSI%29%2C+Jo-Anne+Shepard%2C+MD+and+Sanjay+Saini%2C+MD&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering"><br /></span>
To get more information about radiation in CT, read this article:<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Radiology&rft_id=info%3Adoi%2F10.1148%2Fradiol.2303021726&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Strategies+for+CT+Radiation+Dose+Optimization%0D%0A&rft.issn=&rft.date=2004&rft.volume=&rft.issue=&rft.spage=&rft.epage=&rft.artnum=&rft.au=Mannudeep+K.+Kalra%2C+MD%2C+DNB%2C+Michael+M.+Maher%2C+MD%2C+FFR%28RCSI%29%2C+FRCR%2C+Thomas+L.+Toth%2C+DSc%2C+Leena+M.+Hamberg%2C+PhD%2C+Michael+A.+Blake%2C+MRCPI%2C+FRCR%2C+FFR%28RCSI%29%2C+Jo-Anne+Shepard%2C+MD+and+Sanjay+Saini%2C+MD&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Mannudeep K. Kalra, MD, DNB, Michael M. Maher, MD, FFR(RCSI), FRCR, Thomas L. Toth, DSc, Leena M. Hamberg, PhD, Michael A. Blake, MRCPI, FRCR, FFR(RCSI), Jo-Anne Shepard, MD and Sanjay Saini, MD (2004). Strategies for CT Radiation Dose Optimization
<span style="font-style: italic;">Radiology</span> DOI: <a href="http://dx.doi.org/10.1148/radiol.2303021726" rev="review">10.1148/radiol.2303021726</a></span></div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-26885864772253026742013-07-16T08:00:00.000+02:002013-07-16T08:00:08.921+02:00Statistics - Love or Hate?<div dir="ltr" style="text-align: left;" trbidi="on">
There is no clinical medical imaging paper without statistics. Research can't live without it, but most researchers wish they could. <a href="http://www.wellcome.ac.uk/Education-resources/Education-and-Learning/Big-Picture/index.htm" target="_blank">Big Picture</a> is a Welcome Trust magazine, which is directed to teachers and students. Therefore, the magazine has really simple and clear examples. The new issue is about statistics. There is lots of information relevant for medical imaging researchers: 1) the story about the advertisement of a CT scan that was forbidden to broadcast, 2) types of medical studies from the statistic point of view (see picture below) and 3) general concepts about research. See more information <a href="http://www.wellcome.ac.uk/Education-resources/Education-and-learning/Big-Picture/All-issues/Number-Crunching/index.htm" target="_blank">here</a>.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4BWQW4PesgIqaclp603kERuCRmtfi7aUbVP0NwsLUenKUuh_po7bKnVKCmW2nRQjvcEtOsjsVpGwMXTjvLDsYrf4-FVrj7A0rCLCEMaYgS5NxoKTcVbQ3-LXc-3lXkHtFbDmZC1DBvTw/s1600/typesmedicalimaging.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="150" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4BWQW4PesgIqaclp603kERuCRmtfi7aUbVP0NwsLUenKUuh_po7bKnVKCmW2nRQjvcEtOsjsVpGwMXTjvLDsYrf4-FVrj7A0rCLCEMaYgS5NxoKTcVbQ3-LXc-3lXkHtFbDmZC1DBvTw/s400/typesmedicalimaging.jpg" width="400" /></a></div>
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The new issue pdf can be read <a href="http://www.wellcome.ac.uk/stellent/groups/corporatesite/@msh_peda/documents/web_document/wts057451.pdf?utm_source=Adestra&utm_medium=email&utm_content=download%20as%20a%20PDF&utm_campaign=PU-5687-4_big-picture_issue-18" target="_blank">here</a>. The previous issue was about medical neuroimaging, which can be read <a href="http://knowyourimages.blogspot.de/2013/01/big-picture.html" target="_blank">here</a>.<br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-77516197431058354242013-07-15T01:00:00.000+02:002013-07-15T01:00:29.641+02:00Best posts in the first 6 months - from Angelina Jolie to Muse<div dir="ltr" style="text-align: left;" trbidi="on">
This blog has just turned 6 months. I make the balance of these first six months and compare it with the <a href="http://knowyourimages.blogspot.de/2013/04/procrastination-with-know-your-images.html" target="_blank">first three months</a>:<br />
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Top 5 posts (4 new entries, but #1 post is still the same):<br />
1. <span style="background-color: white; color: black; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-decoration: none;"><a href="http://knowyourimages.blogspot.de/2013/01/medical-imaging-conferences-2013.html" style="background-color: white; font-family: Arial, Tahoma, Helvetica, FreeSans, sans-serif; font-size: 13px; line-height: 18px; text-decoration: none;" target="_blank">Medical Imaging Conferences 2013</a></span><br />
2. <a href="http://knowyourimages.blogspot.de/2013/06/how-does-painting-look-like-in-x-ray.html" target="_blank">How does a painting look like on X-ray?</a><br />
3. <a href="http://knowyourimages.blogspot.de/2013/04/what-does-muse-cd-cover-have-to-do-with.html" target="_blank">What does the Muse CD cover have to do with Medical Imaging?</a><br />
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4. <a href="http://knowyourimages.blogspot.de/2013/05/angelina-jolie-doesnt-trust-medical.html" target="_blank">Angelina Jolie doesn't trust medical imaging</a></div>
5. <a href="http://knowyourimages.blogspot.de/2013/05/dissecting-art-intersecting-anatomy.html" target="_blank">Dissecting Art, Intersecting Anatomy - Medical illustration</a><br />
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More than 9400 visualizations (6900 in the last three months, which is more than the double of the first three months) and 136 posts (53 new posts, 60% of the first three months)! Thank you for sharing this blog!</div>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-56685230153091531192013-07-12T07:30:00.000+02:002013-07-12T07:30:01.645+02:00Breast Imaging and Computer Aided Diagnosis<div dir="ltr" style="text-align: left;" trbidi="on">
When I started studying biomedical engineering and I learned a lit bit about programming, my ingenuity made me think that one day we could build programs that don't need medical doctors. WRONG! Nevertheless, we can still to provide better algorithms and results to medical doctors which make the hard clinical decisions. One of the most challenging tasks for a doctor is to analyze mammograms to find <a href="http://en.wikipedia.org/wiki/Microcalcification" target="_blank">microcalcifications</a> and evaluate the malignity of a lesion. It takes years of experience to be a very good analyst of these images. This is where we can hope to help the medical doctors.<br />
<img height="181" src="http://radiology.rsna.org/content/233/2/411/F7.large.jpg" width="200" /><br />
Computer Aided Diagnosis (CADx) and Computer Aided Detection (CAD) are important tools for the medical doctors and a lot of these tools are being investigated and evaluated in the context of breast imaging using mammograms. At the moment, there is still no method which proved to be accurate enough to be brought to clinical practice. More about this can be read in this review:<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=IEEE+reviews+in+biomedical+engineering&rft_id=info%3Apmid%2F23247864&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Computer-aided+breast+cancer+detection+using+mammograms%3A+a+review.&rft.issn=1937-3333&rft.date=2013&rft.volume=6&rft.issue=&rft.spage=77&rft.epage=98&rft.artnum=&rft.au=Ganesan+K&rft.au=Acharya+UR&rft.au=Chua+CK&rft.au=Min+LC&rft.au=Abraham+KT&rft.au=Ng+KH&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering"><br /></span>
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=IEEE+reviews+in+biomedical+engineering&rft_id=info%3Apmid%2F23247864&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Computer-aided+breast+cancer+detection+using+mammograms%3A+a+review.&rft.issn=1937-3333&rft.date=2013&rft.volume=6&rft.issue=&rft.spage=77&rft.epage=98&rft.artnum=&rft.au=Ganesan+K&rft.au=Acharya+UR&rft.au=Chua+CK&rft.au=Min+LC&rft.au=Abraham+KT&rft.au=Ng+KH&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Ganesan K, Acharya UR, Chua CK, Min LC, Abraham KT, & Ng KH (2013). Computer-aided breast cancer detection using mammograms: a review. <span style="font-style: italic;">IEEE reviews in biomedical engineering, 6</span>, 77-98 PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/23247864" rev="review">23247864</a></span>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-52456604505531682412013-07-10T19:41:00.000+02:002013-07-10T19:41:35.627+02:00PET answers: "Does Cannabis make you lazy?"<div dir="ltr" style="text-align: left;" trbidi="on">
PET (<a href="http://en.wikipedia.org/wiki/Positron_emission_tomography" target="_blank">Positron Emission Tomography</a>) is the image modality in which I have put most of my sweat and tears, so I am always interested to know the latest findings using this modality. The most recent question PET tries to answer is: "Does Cannabis make you lazy?"<br />
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To study this, the researchers used "radio-labelled dopamine" ([18F]-DOPA) in a group of cannabis smokers and a group of controls. Dopamine is the chemical in the brain that controls pleasure and motivation (read <a href="http://www.psychologytoday.com/basics/dopamine" target="_blank">here</a>). The study found that cannabis smokers (3xweek) had decreased levels of dopamine. Since these levels are decreased, researchers think this will contribute to the lack of "pleasure" of the cannabis smoker and therefore, the smoker will be make less effort to obtain something. And that is why cannabis can make you lazy! This is probably what inspired this song:<br />
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<iframe allowfullscreen="" frameborder="0" height="315" src="//www.youtube.com/embed/WeYsTmIzjkw" width="420"></iframe>
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The study can be found <a href="http://www.biologicalpsychiatryjournal.com/article/S0006-3223%2813%2900502-7/abstract" target="_blank">here</a>.<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Biological+psychiatry&rft_id=info%3Apmid%2F23820822&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Dopaminergic+Function+in+Cannabis+Users+and+Its+Relationship+to+Cannabis-Induced+Psychotic+Symptoms.&rft.issn=0006-3223&rft.date=2013&rft.volume=&rft.issue=&rft.spage=&rft.epage=&rft.artnum=&rft.au=Bloomfield+MA&rft.au=Morgan+CJ&rft.au=Egerton+A&rft.au=Kapur+S&rft.au=Curran+HV&rft.au=Howes+OD&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Bloomfield MA, Morgan CJ, Egerton A, Kapur S, Curran HV, & Howes OD (2013). Dopaminergic Function in Cannabis Users and Its Relationship to Cannabis-Induced Psychotic Symptoms. <span style="font-style: italic;">Biological psychiatry</span> PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/23820822" rev="review">23820822</a></span>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-75483042462547761112013-07-08T19:17:00.000+02:002013-07-08T19:17:11.985+02:00South Korea, here I go!<div dir="ltr" style="text-align: left;" trbidi="on">
My latest abstract to a conference was accepted today and I will be attending the conference in South Korea. It will be my first time in Asia... and in <a href="http://www.youtube.com/watch?v=mIQToVqDMb8" target="_blank">Gangnam</a> (style)! More details about the conference "IEEE Nuclear Science Symposium and Medical Imaging Conference" can be seen here: <a href="https://www.nss-mic.org/2013/NSSMain.asp" target="_blank">NSS/MIC</a>, but the scientific programme is still not available. Nevertheless, the webpage has already information about the plenary talks, short courses and workshops. Hope to see some of you there!<br />
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<a href="http://static.guim.co.uk/sys-images/Guardian/Pix/pictures/2012/9/30/1349027180515/Psy-Gangnam-Style-008.jpg" imageanchor="1" style="margin-left: 1em; margin-right: 1em;"><img border="0" height="192" src="http://static.guim.co.uk/sys-images/Guardian/Pix/pictures/2012/9/30/1349027180515/Psy-Gangnam-Style-008.jpg" width="320" /></a></div>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-4332611549569865712013-06-10T23:29:00.001+02:002013-06-10T23:29:32.555+02:00Are you in pain?<div dir="ltr" style="text-align: left;" trbidi="on">
Pain is one of the most difficult things to quantify. The doctor can ask you: How would you classify the pain from 0 to 10, being 10 the most painful and 0 not painful? and you might answer with a number, but the scale is subjective. So far, there was no method to actually quantify pain. fMRI (functional MRI) might change that.<br />
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<img src="https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcQNzcMbjHRBP6PVD-GV5QxEanvvRW7w5mrfg1ecMJcVoMwzCggODQ" /><br />
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A recent study found a way to predict the pain intensity with fMRI. Basically, several volunteers (I'm not sure how much did this study paid, but I don't see myself volunteering for a pain study...) were scanned while thermal-induced pain was being applied. Using machine-learning techniques, the scientist found patterns of activity in the brain which increased when pain was applied. In this study, people who are going through break-ups were also invited to participated with the aim of finding common activated regions in physical and "social" pain. Finally, the effect of drugs for pain relieve was also studied.<br />
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OK, so now you can quantify my pain, then what? Well, just imagine that your pain prescription is not working so well, because your pain was under or over-estimated... or maybe the source of your pain is not being correctly identified...<br />
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There are infinite studies interesting to do, specially ones without any medical interest:<br />
- What hurts more: giving birth or being kicked in the balls?<br />
- Who is suffering more after the break-up: me or my partner? I already can imagine: "Look in this fMRI study how much you made me suffer!"<br />
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The full study can be read here:<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=The+New+England+journal+of+medicine&rft_id=info%3Apmid%2F23574118&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=An+fMRI-based+neurologic+signature+of+physical+pain.&rft.issn=0028-4793&rft.date=2013&rft.volume=368&rft.issue=15&rft.spage=1388&rft.epage=97&rft.artnum=&rft.au=Wager+TD&rft.au=Atlas+LY&rft.au=Lindquist+MA&rft.au=Roy+M&rft.au=Woo+CW&rft.au=Kross+E&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Wager TD, Atlas LY, Lindquist MA, Roy M, Woo CW, & Kross E (2013). An fMRI-based neurologic signature of physical pain. <span style="font-style: italic;">The New England journal of medicine, 368</span> (15), 1388-97 PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/23574118" rev="review">23574118</a></span><br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com2tag:blogger.com,1999:blog-4790037660442250109.post-77382190380879421732013-06-08T21:07:00.000+02:002013-06-08T21:26:02.422+02:00How does a painting look like on X-ray?<div dir="ltr" style="text-align: left;" trbidi="on">
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The impulse to develop medical imaging comes mainly from two sources: understanding/diagnosing diseases and understanding our body. However, medical imaging technology is sometimes used to study different objects. This post is dedicated to the imaging of one type of these objects: <b>paintings</b>.<br />
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<li>Why is that? Because with medical imaging we can study the paintings without destroying them. For e.g. it is possible to know which materials were used without taking any sample out.</li>
<li>Which technology is used? To study paintings, X-ray technology is mostly used. Infrared technology can also be used, but this is not a typical medical imaging technology. (By the way, MRI is not a good medical technology to study paintings, because the paints have basically no water content.) The most important step to use these technologies was that they become mobile.</li>
<li>What else can be seen? Painters have their creative process when painting and it is often possible to understand the previous steps. It is also possible to understand the "mistakes" that the painter made before the final version. These images can even help in the restoration of a painting.</li>
<li>What are the differences from imaging a person? Well, the thing here is that dose is not so important, as well as patient movement or "patient impatience" due to long acquisitions.</li>
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There are many examples of paintings that were studied with medical imaging. One example of such study was made with the "Sunflowers" from Van Gogh, which can be read <a href="http://www.nickveasey.blogspot.pt/2011/01/what-lies-beneath.html" target="_blank">here</a>. <a href="http://www.two-views.com/X-RAY/mona_lisa.html" target="_blank">Mona Lisa</a> has also been scanned and some of Picasso's paintings also, such as "<a href="http://news.medill.northwestern.edu/chicago/news.aspx?id=209018" target="_blank">The Old Guitarist</a>" and "<a href="http://www.moma.org/explore/conservation/demoiselles/analysis_1.html" target="_blank">Les Demoiselles d'Avignon</a>".<br />
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Recognize this painting?<br />
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<img alt="mona lisa emissiograph" src="http://www.two-views.com/images/mona_lisa_emissiograph.jpg" /><br />
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More information can be found <a href="http://www.webexhibits.org/pigments/intro/xray.html" target="_blank">here</a> and there:<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=Powder+Diffraction&rft_id=info%3Adoi%2F10.1154%2F1.1649963&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=X-rays+in+art+and+archaeology%3A+An+overview&rft.issn=0885-7156&rft.date=2012&rft.volume=19&rft.issue=01&rft.spage=3&rft.epage=11&rft.artnum=http%3A%2F%2Fjournals.cambridge.org%2Fabstract_S0885715600008563&rft.au=Schreiner%2C+M.&rft.au=Fr%C3%BChmann%2C+B.&rft.au=Jembrih-Simb%C3%BCrger%2C+D.&rft.au=Linke%2C+R.&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Schreiner, M., Frühmann, B., Jembrih-Simbürger, D., & Linke, R. (2012). X-rays in art and archaeology: An overview <span style="font-style: italic;">Powder Diffraction, 19</span> (01), 3-11 DOI: <a href="http://dx.doi.org/10.1154/1.1649963" rev="review">10.1154/1.1649963</a></span>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-49625884226434899052013-06-07T00:35:00.000+02:002013-06-07T00:35:58.911+02:00Dental Imaging - What is happening there?<div dir="ltr" style="text-align: left;" trbidi="on">
The first time I was started thinking about dental imaging from a different point of view was when I heard in a talk the speaker saying: "These are statistics about medical imaging, without dental imaging.". I wondered "Why are dental imaging statistics not included?"<br />
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<img src="data:image/jpeg;base64,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" /></div>
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My first thought was "well maybe they are seldom"... then again "why would the speaker referred to them specifically?". Dental imaging is definitely increasing! but it seems these procedures are not accounted for when talking about medical imaging. The main dental imaging procedure is X-ray imaging, because X-rays are great for imaging bones and teeth. The increase comes from the fact that digital imaging is now available, which facilitates handling of images. Also, the widespread of these imaging devices make them more prone to use. When I was young, I made some dental images before I wore braces. These images had to be done in a specific clinical imaging facility and were not performed at the dentist clinic. Now, most dental clinics have these devices. Some even say that you should do an annual check up using this technology, so don't be too surprised if the dentist ask you for this next time.<br />
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Should you do it? When is it recommended?<br />
The advantage of doing such type of exam without any complaints, it is probably that you will find a cavity before it becomes painful...or to study the evolution of a problem. The disadvantage are the cost and of course, the dose. Although the small doses present in these exams, they are still there. I refer again to this webtool, where you can calculate on your own the risks: <a href="http://www.xrayrisk.com/calculator/calculator-normal-studies.php" target="_blank">Xrayrisk</a> Traditionally, dental imaging present intra-oral 2D images, but extra-oral are also possible, including 3D images (tomography) which are obtained with a CT scan. Nevertheless, complex exams such as pan-tomography or tomography should only be done in case there is a problem, not for check up...<br />
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The main problem with dental imaging is the lack of regulation (either for prescription or safety) and the training of the human resources for these exams. In imaging clinics, you have human resources with radiography studies and possibly even a physicist. In dental clinical, which human resources do they have? </div>
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For more information about the technology and challenges, this article is a good review:<br />
<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=European+radiology&rft_id=info%3Apmid%2F20544352&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Modern+dental+imaging%3A+a+review+of+the+current+technology+and+clinical+applications+in+dental+practice.&rft.issn=0938-7994&rft.date=2010&rft.volume=20&rft.issue=11&rft.spage=2637&rft.epage=55&rft.artnum=&rft.au=Vandenberghe+B&rft.au=Jacobs+R&rft.au=Bosmans+H&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Vandenberghe B, Jacobs R, & Bosmans H (2010). Modern dental imaging: a review of the current technology and clinical applications in dental practice. <span style="font-style: italic;">European radiology, 20</span> (11), 2637-55 PMID: <a href="http://www.ncbi.nlm.nih.gov/pubmed/20544352" rev="review">20544352</a></span>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com7tag:blogger.com,1999:blog-4790037660442250109.post-85296002113969907782013-06-04T20:52:00.000+02:002013-06-04T20:52:46.650+02:00Europe PubMed Central<div dir="ltr" style="text-align: left;" trbidi="on">
Yesterday, I have discovered the <a href="http://europepmc.org/" target="_blank">Europe PubMed Central</a> webpage. This is the European version of the <a href="http://www.ncbi.nlm.nih.gov/pubmed" target="_blank">PubMed Central</a>. You can find articles and abstracts, but that you already can find online with Google Scholar. What interested me in this webpage is that you find out more about projects and grants funded in Europe in the tool <a href="http://europepmc.org/GrantLookup/" target="_blank">Grant Lookup</a>. In a time of crisis, not only we want to know how our money is being spent, but also find places where our research might be also important in a time where researchers are the new nomads...<br />
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-62501231264136194592013-06-02T14:58:00.001+02:002013-06-02T14:58:35.365+02:00Procrastination to find the most cited paper in the field of MRI<div dir="ltr" style="text-align: left;" trbidi="on">
<span style="background-color: white; font-family: Arial, Helvetica, sans-serif; line-height: 18px;">I have posted recently about the most cited (important?) papers in Medical Imaging in the last ten/five/two years <a href="http://knowyourimages.blogspot.pt/2013/04/procrastination-to-find-most-cited.html" target="_blank">here</a>. Today I look for the most cited papers in the field of MRI. Interesting to note that these 3 papers were published in Neuroimage.</span><br />
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<span style="background-color: white; line-height: 18px;"><span style="font-family: Arial, Helvetica, sans-serif;">Most cited paper in Radiology, Nuclear Science and Medical Imaging Field about <b>MRI</b>:</span></span><br />
<span style="background-color: white; font-family: Arial, Helvetica, sans-serif; line-height: 18px;"><br /></span>
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: white; line-height: 18px;">- of the last </span><b style="background-color: white; line-height: 18px;">10 years</b><span style="background-color: white; line-height: 18px;"> with 1346 citations:</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=NeuroImage&rft_id=info%3Adoi%2F10.1016%2Fj.neuroimage.2005.02.018&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Unified+segmentation&rft.issn=10538119&rft.date=2005&rft.volume=26&rft.issue=3&rft.spage=839&rft.epage=851&rft.artnum=http%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1053811905001102&rft.au=Ashburner%2C+J.&rft.au=Friston%2C+K.&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Ashburner, J., & Friston, K. (2005). Unified segmentation <span style="font-style: italic;">NeuroImage, 26</span> (3), 839-851 DOI: <a href="http://dx.doi.org/10.1016/j.neuroimage.2005.02.018" rev="review">10.1016/j.neuroimage.2005.02.018</a></span> </span><br />
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<span style="background-color: white; font-family: Arial, Helvetica, sans-serif;">This paper is the basis for the <a href="http://www.fil.ion.ucl.ac.uk/spm/" target="_blank">SPM framework</a>, one of the most important in the field of MRI. Thus, it is understandable that this paper has a lot of citations, because most researchers who use this framework (and there are a lot, myself included) use this paper in their citations.</span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: white; line-height: 18px;"><br /></span>
<span style="background-color: white; line-height: 18px;">- </span><span style="background-color: white; line-height: 18px;">of the last <b>5</b></span><b style="background-color: white; line-height: 18px;"> years</b><span style="background-color: white; line-height: 18px;"> with 250 citations:</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=NeuroImage&rft_id=info%3Adoi%2F10.1016%2Fj.neuroimage.2008.12.037&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Evaluation+of+14+nonlinear+deformation+algorithms+applied+to+human+brain+MRI+registration&rft.issn=10538119&rft.date=2009&rft.volume=46&rft.issue=3&rft.spage=786&rft.epage=802&rft.artnum=http%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1053811908012974&rft.au=Klein%2C+A.&rft.au=Andersson%2C+J.&rft.au=Ardekani%2C+B.&rft.au=Ashburner%2C+J.&rft.au=Avants%2C+B.&rft.au=Chiang%2C+M.&rft.au=Christensen%2C+G.&rft.au=Collins%2C+D.&rft.au=Gee%2C+J.&rft.au=Hellier%2C+P.&rft.au=Song%2C+J.&rft.au=Jenkinson%2C+M.&rft.au=Lepage%2C+C.&rft.au=Rueckert%2C+D.&rft.au=Thompson%2C+P.&rft.au=Vercauteren%2C+T.&rft.au=Woods%2C+R.&rft.au=Mann%2C+J.&rft.au=Parsey%2C+R.&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Klein, A., Andersson, J., Ardekani, B., Ashburner, J., Avants, B., Chiang, M., Christensen, G., Collins, D., Gee, J., Hellier, P., Song, J., Jenkinson, M., Lepage, C., Rueckert, D., Thompson, P., Vercauteren, T., Woods, R., Mann, J., & Parsey, R. (2009). Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration <span style="font-style: italic;">NeuroImage, 46</span> (3), 786-802 DOI: <a href="http://dx.doi.org/10.1016/j.neuroimage.2008.12.037" rev="review">10.1016/j.neuroimage.2008.12.037</a></span>
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<span style="background-color: white; line-height: 18px;"><br /></span><span style="background-color: white; line-height: 18px;">I have to say that I am quite surprised by finding this paper on top. Brain MRI registration is nowadays considered almost a solved problem and I don't think there are many people looking into this anymore. However, it is always nice to put in your own paper: "I used this registration, because this paper says it is the best".</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span style="background-color: white; line-height: 18px;"><br /></span>
<span style="background-color: white; line-height: 18px;">- of the last <b>2</b></span><b style="background-color: white; line-height: 18px;"> years</b><span style="background-color: white; line-height: 18px;"> with 106 citations:</span></span><br />
<span style="font-family: Arial, Helvetica, sans-serif;"><span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.jtitle=NeuroImage&rft_id=info%3Adoi%2F10.1016%2Fj.neuroimage.2010.08.063&rfr_id=info%3Asid%2Fresearchblogging.org&rft.atitle=Network+modelling+methods+for+FMRI&rft.issn=10538119&rft.date=2011&rft.volume=54&rft.issue=2&rft.spage=875&rft.epage=891&rft.artnum=http%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS1053811910011602&rft.au=Smith%2C+S.&rft.au=Miller%2C+K.&rft.au=Salimi-Khorshidi%2C+G.&rft.au=Webster%2C+M.&rft.au=Beckmann%2C+C.&rft.au=Nichols%2C+T.&rft.au=Ramsey%2C+J.&rft.au=Woolrich%2C+M.&rfe_dat=bpr3.included=1;bpr3.tags=Computer+Science+%2F+Engineering%2CBiomedical+Engineering">Smith, S., Miller, K., Salimi-Khorshidi, G., Webster, M., Beckmann, C., Nichols, T., Ramsey, J., & Woolrich, M. (2011). Network modelling methods for FMRI <span style="font-style: italic;">NeuroImage, 54</span> (2), 875-891 DOI: <a href="http://dx.doi.org/10.1016/j.neuroimage.2010.08.063" rev="review">10.1016/j.neuroimage.2010.08.063</a></span></span><br />
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<span style="font-family: Arial, Helvetica, sans-serif;">I have talked about brain networks some times in this blog and this paper shows me that this topic has been hot in the last two years. This papers discusses different methods to obtain networks with fMRI data: "Many different methods are being used in the literature, but almost none has been carefully validated or compared for use on FMRI timeseries data."</span></div>
Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0tag:blogger.com,1999:blog-4790037660442250109.post-80602625714487118342013-05-31T17:17:00.000+02:002013-05-31T17:17:34.189+02:00KnowYourImages Youtube Channel<div dir="ltr" style="text-align: left;" trbidi="on">
I have posted several videos in this blog and now most of them (27 to be exact) are compiled in a Youtube playlist on the blog's Channel. With this playlist, you don't need to search the blog for the videos, because there are all <a href="http://www.youtube.com/watch?v=JCM966O5_oc&feature=share&list=PL8ztNuRhmLuAFB6rLT1cuvy9EzvEiVoZ6" target="_blank">here</a>. Have fun!<br />
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<iframe allowfullscreen="" frameborder="0" height="315" src="http://www.youtube.com/embed/JCM966O5_oc?list=PL8ztNuRhmLuAFB6rLT1cuvy9EzvEiVoZ6" width="560"></iframe>
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Know Your Imageshttp://www.blogger.com/profile/10852786796070617994noreply@blogger.com0