PMID: 6396921Jul 1, 1984Paper

Texture analysis of ultrasound B-mode images by segmentation

Ultrasonic Imaging
G MaillouxS Ethier

Abstract

B-mode texture characterization by supervised methods of pattern recognition is subject to the following drawbacks: precise localization of the lesion to characterize is often difficult and, even when the lesion is well isolated, its texture can be corrupted by the presence of tumor non specific structures. These structures are not easily discernable and introduce a bias in the statistical measures. The results presented in this paper show that these problems can be circumvented by the use of an unsupervised method of image segmentation. The method enhanced the B-mode image and partitions the non specific structures and the lesion texture in different regions which can be characterized independently by statistical methods. The unsupervised approach also facilitates the clinical diagnosis done by visual inspection, by revealing subtle characteristics of the B-mode textures.

Citations

Oct 1, 1986·Ultrasound in Medicine & Biology·K ChandrasekaranA J Tajik
Aug 18, 2012·Biomedical Engineering Online·Robert KoprowskiWaldemar Wójcik
Nov 19, 2015·Journal of Medical Ultrasonics·Naoki MatsumotoSeiichi Udagawa
Aug 26, 2020·Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine·Naoki MatsumotoMasahiko Sugitani

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