title: Ultrasound characterization by stable statistical patterns.
abstract: It is shown that automated characterization of ultrasound images can be achieved effectively if the images are confined to single internal organs. The ultrasound image of a particular organ gives statistical textures of its structures, which are consistent with stable patterns. Analysis of these patterns leads to the construction, from a few statistical parameters, of a fast and effective algorithm to characterize these ultrasound images. A small training set is adequate. A similar approach may be used to detect tumour sites from liver ultrasonograms. The algorithms are implemented on an IBM-compatible personal computer for future incorporation into existing ultrasound machines.
authors.affiliation: Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Hong Kong. ytwun@cuhk.edu.hk
authors.forename: Y T
authors.initials: YT
authors.lastname: Wun
authors.forename: R
authors.initials: R
authors.lastname: Chung
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D008099:Liver / Q000000981:diagnostic imaging; D008113:Liver Neoplasms / Q000000981:diagnostic imaging; D014463:Ultrasonography / Q000706:statistics & numerical data*