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Automatic Tracing and Segmentation of Rat Mammary Fat Pads in MRI Image Sequences Based on Cartoon-Texture Model

查看全文 作　　者：[1]涂圣贤;[1]张素;[1]陈亚珠;Freedman Matthew [2]T;WANG [3]Bin;XUAN [3]Jason;WANG [3]Yue 高影响力作者 机构地区：[1]Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China;[2]Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USA;[3]Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA高影响力机构 出　　处：《Transactions of Tianjin University》索引2009年第15卷第3期,共7页高影响力期刊 基　　金：Supported by National Basic Research Program of China (No.2003CB716103);partially supported by the US Army Breast Cancer Research Program (DAMD17-03-1-0446) 摘　　要：The growth patterns of mammary fat pads and glandular tissues inside the fat pads may be related with the risk factors of breast cancer.Quantitative measurements of this relationship are available after segmentation of mammary pads and glandular tissues.Rat fat pads may lose continuity along image sequences or adjoin similar intensity areas like epidermis and subcutaneous regions.A new approach for automatic tracing and segmentation of fat pads in magnetic resonance imaging(MRI) image sequences is presented,which does not require that the number of pads be constant or the spatial location of pads be adjacent among image slices.First,each image is decomposed into cartoon image and texture image based on cartoon-texture model.They will be used as smooth image and feature image for segmentation and for targeting pad seeds,respectively.Then,two-phase direct energy segmentation based on Chan-Vese active contour model is applied to partitioning the cartoon image into a set of regions,from which the pad boundary is traced iteratively from the pad seed.A tracing algorithm based on scanning order is proposed to accurately trace the pad boundary,which effectively removes the epidermis attached to the pad without any post processing as well as solves the problem of over-segmentation of some small holes inside the pad.The experimental results demonstrate the utility of this approach in accurate delineation of various numbers of mammary pads from several sets of MRI images. 关 键 词：MRI图像 图像分割 卡通形象 图像序列 纹理模型 乳腺癌 脂肪 自动跟踪
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