Title :
Application of statistical shape model to diagnosis of liver disease
Author :
Kohara, Shinya ; Tateyama, Tomoko ; Foruzan, Amir Hossein ; Furukawa, Akira ; Kanasaki, Shuzo ; Wakamiya, Makoto ; Chen, Yen-wei
Author_Institution :
Grad. Sch. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
Abstract :
In computational anatomy, statistical shape model is used for quantitative evaluation of the variations of an organ shape. This paper is focused on construction of Statistical Shape Model of the liver and its application to computer assisted diagnosis. We prove the potential application of statistical shape models in classification of normal and cirrhosis livers. First, statistical shape model of liver is constructed. Then the coefficients of the model are used to recognize whether liver is normal or abnormal.
Keywords :
diseases; liver; medical image processing; shape recognition; statistical analysis; cirrhosis livers; computational anatomy; computer assisted diagnosis; liver disease diagnosis; potential application; quantitative evaluation; statistical shape model; Anatomy; Application software; Biomedical engineering; Biomedical imaging; Computer aided diagnosis; Image segmentation; Liver diseases; Medical diagnostic imaging; Principal component analysis; Shape; Computer-Aided Diagnosis; Statistical Shape Model;
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
