A novel method to quantitatively analyze the fatty liver ultrasonic images based on multiresolution fractal Brownian motion model and genetic algorithm.
- Author:
Tianshuang QIU
1
;
Song GAO
;
Wei KANG
;
Ying LIU
Author Information
1. Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China. qiutsh@dlut.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Fatty Liver;
diagnostic imaging;
genetics;
Humans;
Image Interpretation, Computer-Assisted;
Image Processing, Computer-Assisted;
methods;
Models, Statistical;
Models, Theoretical;
Motion;
Ultrasonography
- From:
Journal of Biomedical Engineering
2009;26(3):647-652
- CountryChina
- Language:Chinese
-
Abstract:
Medical ultrasonic imaging is frequently used for diagnosing the fatty liver disease. In order to help doctors diagnose fatty liver disease more precisely, we need to construct a quantitative assessment system, and in this paper, we propose a method to construct such system with the use of multiresolution fractal Brownian motion model and the genetic algorithm. In such a way, a set of standards can help doctors diagnose the degree of the fatty liver disease more precisely.
