Venkatesh Y V
Department of Electrical Engineering, Indian Institute of Science, Bangalore, India.
Ultrason Imaging. 1996 Oct;18(4):261-304. doi: 10.1177/016173469601800403.
Ultrasonic images of the kidney and of the liver are subjected to a multiscale analysis in a generalized Hermite pyramid framework. The gradient images of the multiscale decompositions of the images of healthy and sick kidneys, and of the intraoperative and conventionally imaged livers, exhibit differences, in the structures of gray level regions, which can be interpreted by a medical doctor. These are used as inputs to an unsupervised classifier to automatically classify the images into homogeneous groups, which are found, in the case of the ultrasonic images examined, to correspond to the different physical characteristics of tissues of the organs under study. The main contribution of the paper is believed to be the multiscale tissue characterization along with its display in a manner that has utility as a diagnostic aid to the clinician.
在广义埃尔米特金字塔框架下，对肾脏和肝脏的超声图像进行多尺度分析。健康肾脏和患病肾脏以及术中成像和传统成像肝脏的图像多尺度分解后的梯度图像，在灰度区域结构上呈现出差异，医生可对此进行解读。这些图像被用作无监督分类器的输入，以自动将图像分类为同质组，在所检查的超声图像案例中发现，这些组对应于所研究器官组织的不同物理特征。本文的主要贡献据信在于多尺度组织特征描述以及以对临床医生具有诊断辅助作用的方式进行展示。
