Venkatesh Y V
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
Ultrason Imaging. 1996 Oct;18(4):305-27. doi: 10.1177/016173469601800404.
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, 261-304. 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 classifer exhibit some interesting patterns that appear to be related to the chemical composition of the gallstones contained in these images.
本文探讨了从体外和体内B超超声图像中提取有关人体胆囊结石化学成分信息的问题。这些图像采用了第一部分（Venkatesh, Y. V.,《超声成像》，18, 261 - 304. 1996）中描述的埃尔米特金字塔分解技术进行处理。为了确定胆结石的化学成分，将分解后图像的梯度输入到一个无监督分类器中。分类器的输出呈现出一些有趣的模式，这些模式似乎与这些图像中所含胆结石的化学成分有关。
