DocumentCode :
525617
Title :
Representation and evaluation of statistical prediction powers of neighboring organ shapes for construction of multi-organ statistical atlas
Author :
Yoshida, Yasuhide ; Chen, Yen-wei ; Okada, Toshiyuki ; Yokota, Futoshi ; Sato, Yoshinobu ; Hori, Masatoshi
Author_Institution :
Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2010
fDate :
23-25 June 2010
Firstpage :
696
Lastpage :
699
Abstract :
Representation and evaluation methods for statistically predicting organ shapes from neighboring organ shapes are described. In order to fully utilize the constraints on interrelations of multiple organ shapes, various extents of sub-shapes of organs are considered based on their proximity instead of just using the whole organ shapes. The prediction power are evaluated for various extents of sub-shapes and enhanced by their integration. Experimental results using shape datasets of several organs in the abdominal domain demonstrate the effective of the proposed methods.
Keywords :
biological organs; medical image processing; prediction theory; shape recognition; statistical analysis; abdominal domain; multiorgan statistical atlas; neighboring organ shape; shape dataset; statistical prediction power; Abdomen; Anatomical structure; Biomedical engineering; Educational institutions; Hospitals; Information analysis; Information science; Power engineering and energy; Predictive models; Shape; Computational Anatomy; Multi-Organ Atlas; Statistical Shape Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-7324-3
Electronic_ISBN :
978-89-88678-22-0
Type :
conf
Filename :
5542831
Link To Document :
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