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 gallery. 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:
http://healthcare.siemens.com/computed-tomography/technologies-innovations/ct-image-contest
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)
http://healthcare.siemens.com/computed-tomography/technologies-innovations/ct-image-contest
To get more information about radiation in CT, read this article:
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 Radiology DOI: 10.1148/radiol.2303021726
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