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题名: A novel automatically initialized level set approach based on region correlation for lumbar vertebrae CT image segmentation
作者: Li Y(李杨); Liang W(梁炜); Tan JD(谈金东); Zhang YL(张吟龙)
作者部门: 工业控制网络与系统研究室
会议名称: 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015
会议日期: May 7-9, 2015
会议地点: Torino, Italy
会议主办者: Institute of Electrical and Electronics Engineers Inc.
会议录: 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 291-296
收录类别: EI ; CPCI(ISTP)
ISBN号: 9781479964765
关键词: image-guided surgery ; vertebrae segmentation ; level set method ; hybrid morphological filter ; region correlation
摘要: Despite recent advances, robust automatic segmentation for vertebrae computed tomography (CT) image still presents considerable challenges, mainly due to its inherent limitations, such as topological variation, irregular boundaries (double boundary, weak boundary) and image noises, etc. Therefore, this paper proposes a novel automatically initialized level set approach based on region correlation, which is able to deal with these problems in the segmentation. First, an automatically initialized level set function (AILSF) is designed to automatically generate a smooth initial contour. This AILSF comprises hybrid morphological filter (HMF) and Gaussian mixture model (GMM), which can guarantee the initial contour precisely adjacent to the object boundary. Second, we introduce a region correlation based level set formulation, which simultaneously consider the histogram information of inside and outside the level set contour, to overcome the weak boundary leaking and image noises problem. Experimental results on clinical lumbar vertebrae CT images demonstrate that our proposed approach is more accurate in segmenting with irregular boundaries and more robust to different levels of salt-and-pepper noises.
语种: 英语
产权排序: 1
WOS记录号: WOS:000380610600054
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/16891
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
Li Y,Liang W,Tan JD,et al. A novel automatically initialized level set approach based on region correlation for lumbar vertebrae CT image segmentation[C]. 见:2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015. Torino, Italy. May 7-9, 2015.
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文件名: A novel automatically initialized level set approach based on region correlation for lumbar vertebrae CT image segmentation.pdf
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