title: [A novel method to quantitatively analyze the fatty liver ultrasonic images based on multiresolution fractal Brownian motion model and genetic algorithm].
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.
authors.affiliation: Department of Electronic Engineering, Dalian University of Technology, Dalian 116024, China. qiutsh@dlut.edu.cn
authors.forename: Tianshuang
authors.initials: T
authors.lastname: Qiu
authors.forename: Song
authors.initials: S
authors.lastname: Gao
authors.forename: Wei
authors.initials: W
authors.lastname: Kang
authors.forename: Ying
authors.initials: Y
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D005234:Fatty Liver / Q000000981:diagnostic imaging* / Q000235:genetics; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted / Q000379:methods; D015233:Models, Statistical; D008962:Models, Theoretical; D009038:Motion; D014463:Ultrasonography