文献类型：期刊文献

英文题名：Texture analysis method for shape-based segmentation in medical image

作者：Chang, Qing[1]; Zhang, Bin[1]; Liu, Ruixiang[1]

机构：[1] School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

年份：2011

卷号：3

起止页码：1146

外文期刊名：Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011

收录：EI(收录号：20120214678387)

语种：英文

外文关键词：Computerized tomography - Image segmentation - Medical imaging - Urology

摘要：In this paper, we present a fully automatic algorithm for segmentation of the prostate from the lower abdomen of male patients' CT images. A statistical shape prior is adapted to the process of prostate segmentation. Shape variability of the prostate is derived from expert manually segmented images. Furthermore, we also propose to use genetic algorithm to perform the let set curve evolution. Each individual of the GA population represents a segmenting contour. The fitness of each individual is evaluated based on the texture of the region it encloses. Compared to the manual gold standard segmentations, the results of our automatic segmentation approach after the adaptation of the statistical shape model and GA indicate that our method meets promising results and clinical application. ? 2011 IEEE.