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A novel automatically initialized level set approach based on region correlation for lumbar vertebrae CT image segmentation
Li Y(李杨); Liang W(梁炜); Tan JD(谈金东); Zhang YL(张吟龙)
Department工业控制网络与系统研究室
Conference Name2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015
Conference DateMay 7-9, 2015
Conference PlaceTorino, Italy
Author of SourceInstitute of Electrical and Electronics Engineers Inc.
Source Publication2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages291-296
Indexed ByEI ; CPCI(ISTP)
EI Accession number20153401194687
WOS IDWOS:000380610600054
Contribution Rank1
ISBN978-1-4799-6476-5
KeywordImage-guided Surgery Vertebrae Segmentation Level Set Method Hybrid Morphological Filter Region Correlation
AbstractDespite 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.
Language英语
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/16891
Collection工业控制网络与系统研究室
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Department of Mechanical,Aerospace and Biomedical Engineering, University of Tennessee, Konxville, TN, United States
Recommended Citation
GB/T 7714
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]//Institute of Electrical and Electronics Engineers Inc.. Piscataway, NJ, USA:IEEE,2015:291-296.
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