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

fYear

2010

fDate

23-25 June 2010

Firstpage

680

Lastpage

683

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;

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

5542835