An image analyzing system using an artificial neural network for evaluating the parenchymal echo pattern of cirrhotic liver and chronic hepatitis

Author

Fukuda, Hiroyuki ; Ebara, Masaaki ; Kobayashi, Akira ; Sugiura, Nobuyuki ; Yoshikawa, Masaharu ; Saisho, Hiromitsu ; Kondo, Fukuo ; Yoshino, Shinya ; Yahagi, Takashi

Author_Institution

First Dept. of Med., Chiba Univ., Japan

Volume

45

Issue

3

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

396

Lastpage

400

Abstract

To objectively evaluate the parenchymal echo pattern of cirrhotic liver and chronic hepatitis, the authors applied an image analyzing system (IAS) using a neural network. Autopsy specimens in a water tank (n=13) were used to examine the relationship between the diameter of the regenerative nodule and the coarse score (CS) calculated by IAS. CS was significantly correlated with the diameter of the regenerative nodule (p<0.0001, r=0.966). CS is considered to be useful for evaluating the coarseness of the parenchymal echo pattern.

Keywords

biomedical ultrasonics; liver; medical image processing; neural nets; artificial neural network; autopsy specimens; chronic hepatitis; cirrhotic liver; image analyzing system; medical diagnostic imaging; parenchymal echo pattern; pattern coarseness evaluation; regenerative nodule; Artificial neural networks; Autopsy; Biomedical imaging; Image analysis; Lesions; Liver diseases; Neural networks; Pattern analysis; Ultrasonic imaging; Ultrasonography; Hepatitis, Chronic; Humans; Image Interpretation, Computer-Assisted; Liver; Liver Cirrhosis; Neural Networks (Computer); Transducers;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/10.661164

Filename

661164