Your browser doesn't support javascript.
loading
A novel method to quantitatively analyze the fatty liver ultrasonic images based on multiresolution fractal Brownian motion model and genetic algorithm / 生物医学工程学杂志
Article in Zh | WPRIM | ID: wpr-294600
Responsible library: WPRO
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.
Subject(s)
Full text: 1 Index: WPRIM Main subject: Algorithms / Image Processing, Computer-Assisted / Diagnostic Imaging / Image Interpretation, Computer-Assisted / Models, Statistical / Ultrasonography / Fatty Liver / Genetics / Methods / Models, Theoretical Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2009 Type: Article
Full text: 1 Index: WPRIM Main subject: Algorithms / Image Processing, Computer-Assisted / Diagnostic Imaging / Image Interpretation, Computer-Assisted / Models, Statistical / Ultrasonography / Fatty Liver / Genetics / Methods / Models, Theoretical Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: Zh Journal: Journal of Biomedical Engineering Year: 2009 Type: Article