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1 April 2008 Automated scoring system of standard uptake value for torso FDG-PET images
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The purpose of this work was to develop an automated method to calculate the score of SUV for torso region on FDG-PET scans. The three dimensional distributions for the mean and the standard deviation values of SUV were stored in each volume to score the SUV in corresponding pixel position within unknown scans. The modeling methods is based on SPM approach using correction technique of Euler characteristic and Resel (Resolution element). We employed 197 nor-mal cases (male: 143, female: 54) to assemble the normal metabolism distribution of FDG. The physique were registered each other in a rectangular parallelepiped shape using affine transformation and Thin-Plate-Spline technique. The regions of the three organs were determined based on semi-automated procedure. Seventy-three abnormal spots were used to estimate the effectiveness of the scoring methods. As a result, the score images correctly represented that the scores for normal cases were between zeros to plus/minus 2 SD. Most of the scores of abnormal spots associated with cancer were lager than the upper of the SUV interval of normal organs.
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Takeshi Hara, Tatsunori Kobayashi, Kazunao Kawai, Xiangrong Zhou, Satoshi Itoh, Tetsuro Katafuchi, and Hiroshi Fujita "Automated scoring system of standard uptake value for torso FDG-PET images", Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 691534 (1 April 2008);

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