Paper Info
Title
Automated scoring system of standard uptake value for torso FDG-PET images
Abstract
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 normal 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.
Year
DOI
Venue
2008
10.1117/12.770456
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
FDG-PET,SUV,automated detection
Affine transformation,Resel,Nuclear medicine,Standardized uptake value,Torso,Pixel,Positron emission tomography,Standard deviation,Mathematics,Scoring system
Conference
Volume
ISSN
Citations 
6915
0277-786X
4
PageRank 
References 
Authors
0.56
0
7
Name
Order
Citations
PageRank
Takeshi Hara163979.10
tatsunori kobayashi240.90
kazunao kawai340.56
Xiangrong Zhou432545.53
S. Itoh540.90
Tetsuro Katafuchi6102.95
hiroshi fujita740.90