A generalized Hermite pyramid for ultrasonic image analysis .2. Gallstone

作     者：Venkatesh, YV 

作者机构：Computer Vision and Artificial Intelligence Laboratory Department of Electrical Engineering Indian Institute of Science 

出 版 物：《ULTRASONIC IMAGING》 (超声成像)

年 卷 期：1996年第18卷第4期

页      面：305-327页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1001[医学-基础医学(可授医学、理学学位)] 1009[医学-特种医学] 0702[理学-物理学] 10[医学] 

主　　题：gallstones Hermite polynomials image decomposition medical imaging multiscale image analysis ultrasonic image analysis unsupervised classification 

摘      要：This paper deals with the problem of extracting information regarding the chemical composition of stones in the human gallbladder from in vitro and in vivo B-scan ultrasonic images. The images are subjected to the Hermite pyramid decomposition technique described in Part I (Venkatesh, Y. V., Ultrasonic Imaging, 18, 261-301, 1996). In an attempt to determine the chemical composition of the gallstones, the gradients of the decomposed images are input to an unsupervised classifier. The outputs of the classifier exhibit some interesting patterns that appear to be related to the chemical composition of the gallstones contained in these images. (C) 1996 Academic Press.