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
Journal of Biomedical Engineering
; (6): 647-652, 2009.
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.
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