TY - GEN
T1 - Automatic hot spot detection and segmentation in whole body FDG-PET images
AU - Guan, Haiying
AU - Kubota, Toshiro
AU - Huang, Xiaolei
AU - Zhou, Xiang Sean
AU - Turk, Matthew
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2006
Y1 - 2006
N2 - We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-section labeling module based on spatial Hidden-Markov Models (HMM); this allows different processing policies to be applied in different body sections. Second, the Competition Diffusion (CD) segmentation algorithm, which takes into account body-section information, converts the binary thresholding results to probabilistic interpretation and detects hotspot region candidates. Third, a recursive intensity mode-seeking algorithm finds hot spot centers efficiently, and given these centers, a clinically meaningful protocol is proposed to accurately quantify hot spot volumes. Experimental results show that our system works robustly despite the large variations in clinical PET images.
AB - We present a system for automatic hot spots detection and segmentation in whole body FDG-PET images. The main contribution of our system is threefold. First, it has a novel body-section labeling module based on spatial Hidden-Markov Models (HMM); this allows different processing policies to be applied in different body sections. Second, the Competition Diffusion (CD) segmentation algorithm, which takes into account body-section information, converts the binary thresholding results to probabilistic interpretation and detects hotspot region candidates. Third, a recursive intensity mode-seeking algorithm finds hot spot centers efficiently, and given these centers, a clinically meaningful protocol is proposed to accurately quantify hot spot volumes. Experimental results show that our system works robustly despite the large variations in clinical PET images.
UR - http://www.scopus.com/inward/record.url?scp=78649877415&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649877415&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2006.312368
DO - 10.1109/ICIP.2006.312368
M3 - Conference contribution
AN - SCOPUS:78649877415
SN - 1424404819
SN - 9781424404810
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 85
EP - 88
BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006
Y2 - 8 October 2006 through 11 October 2006
ER -