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	Atlas based automatic identification of abdominal organs
	Zhou, YX ; Bai, J
	2010-05-10 ; 2010-05-10
会议名称	Medical Imaging 2005: Image Processing, Pt 1-3 ; Medical Imaging 2005 Conference ; San Diego, CA ; Web of Science ; INSPEC
关键词	segmentation registration atlas abdominal organs FREE-FORM TRANSFORMATIONS FUZZY CONNECTEDNESS IMAGE SEGMENTATION PROBABILISTIC ATLAS INTERNAL STRUCTURES 3-D SEGMENTATION VALIDATION ALGORITHMS COMBINATION SIMILARITY Imaging Science & Photographic Technology Radiology, Nuclear Medicine & Medical Imaging
中文摘要	Due to intensity inhomogeneities, partial volume effects,, as well as organ shape variations', automatic segmentation of abdominal organs has always been a high challenging task. To conquer these difficulties, we employ a pre-labeled atlas (VIP-Man) to supplement anatomical knowledge to the segmentation process. First, an atlas-subject registration is carried out to establish the proper correspondence between the atlas and the subject. The registration consists of two steps. In the global registration step, a similarity transformation is found to eliminate the stature differences. In the organ registration step, organs of interest are registered respectively to achieve better alignments. Second, we utilize the fuzzy connectedness framework to segment abdominal organs of interest from the subject image. Under the guidance of the registered atlas, the seeds and intensity parameters of organs are specified in an auto-adaptive way. Further more, the anatomical knowledge contained in the atlas is blended into the frame work, to make the segmentation result more reliable. To remove possible jags on boundary, a level set smooth method which implements fuzzy connectedness as external speed forces, is utilized on the segmentation result. Our purpose is to accomplish the segmentation task like how anatomy experts do. So far, this approach has been applied to segment organs, including liver, spleen and kidneys,, in the female MR1 T1 data set from the VHP. All organs of interest are identified correctly, and delineated with considerable precision.
会议录出版者	SPIE-INT SOC OPTICAL ENGINEERING ; BELLINGHAM ; 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/20230]
专题	清华大学
推荐引用方式 GB/T 7714	Zhou, YX,Bai, J. Atlas based automatic identification of abdominal organs[C]. 见:Medical Imaging 2005: Image Processing, Pt 1-3, Medical Imaging 2005 Conference, San Diego, CA, Web of Science, INSPEC.

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