Application of pulse-coupled neural network combined with genetic algorithm on MR images of hypoxic-ischemic encephalopathy.
- Author:
Li LIU
1
;
Haiying SHI
;
Liqin HUO
;
Feng ZHANG
;
Chongxun ZHENG
;
Jia YOU
;
Xining HE
;
Jie ZHANG
Author Information
1. First Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an 710061, China. nellie918@yahoo.com.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Female;
Humans;
Hypoxia-Ischemia, Brain;
diagnosis;
physiopathology;
Image Processing, Computer-Assisted;
Infant, Newborn;
Magnetic Resonance Imaging;
methods;
Male;
Neural Networks (Computer)
- From:
Journal of Biomedical Engineering
2011;28(5):1019-1024
- CountryChina
- Language:Chinese
-
Abstract:
This paper is to provide a basis for the establishment of an early diagnostic system for hypoxic-ischemic encephalopathy (HIE) by performing segmentation and feature extraction of lesions on the MR images of neonatal babies with HIE. The segmentation on MR images of HIE based on the genetic algorithm (GA) combined with a pulse-coupled neural network (PCNN) were carried out. There were better segmentation results by using PCNN segmentation based on GA than PCNN segmentation with fixed parameters. The data suggested that a PCNN based on GA could provide effective assistance for diagnosis and research.
