Decision of Cirrhosis Using Liver´s Ultrasonic Images

Author

Zhou, Guohui ; Wang, Yuanyuan ; Wang, Weiqi ; Sun, Ying ; Chen, Yue

Author_Institution

Dept. of Electron. Eng., Fudan Univ., Shanghai

fYear

2006

Firstpage

3351

Lastpage

3354

Abstract

Feature extraction techniques in the ultrasonic images of a liver were studied firstly. As an initial result, total 25 parameters relating to cirrhosis were extracted. They were obtained from the motion curve of the liver in an M-mode image, and from the texture using a B-mode image. Then the efficiency of every parameter was analyzed, and with the use of a feature fusion method a set of 20 useful features was picked out. With these chosen features, a noninvasive automatic decision system for cirrhosis was constructed based on a Fisher linear decision criterion. The clinical application for 43 cases showed that this quantitative system was effective in the diagnosis of cirrhosis

Keywords

biomedical ultrasonics; diseases; feature extraction; image texture; liver; medical image processing; B-mode image; Fisher linear decision criterion; M-mode image; cirrhosis diagnosis; feature extraction; feature fusion method; image texture; liver; noninvasive automatic decision system; ultrasonic images; Abdomen; Biomedical imaging; Elasticity; Feature extraction; Heart; Hospitals; Liver; Pixel; Sun; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617195

Filename

1617195