Title :
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
fDate :
3/1/1998 12:00:00 AM
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;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
