Multiphase B-spline level set and incremental shape priors with applications to segmentation and tracking of left ventricle in cardiac MR images

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題名:	Multiphase B-spline level set and incremental shape priors with applications to segmentation and tracking of left ventricle in cardiac MR images
作者:	王淵弘;Pham, Van-Truong;Tran, Thi-Thao;Shyu, Kuo-Kai;Lin, Lian-Yu;Wang, Yung-Hung;Lo, Men-Tzung
貢獻者:	工學院機械工程學系
關鍵詞:	Affine transformations;Applied sciences;Artificial intelligence;Basic converters;Biological and medical sciences;Cardiovascular system;Communications Engineering;Computer Science;Computer science;control theory;systems;Continuity (mathematics);Contours;Data processing. List processing. Character string processing;Epicardium;Exact sciences and technology;Image Processing and Computer Vision;Image segmentation;Investigative techniques, diagnostic techniques (general aspects);Magnetic resonance imaging;Mathematical models;Medical sciences;Memory organisation. Data processing;Multiphase;Networks;Original Paper;Partial differential equations;Pattern Recognition;Pattern recognition. Digital image processing. Computational geometry;Principal components analysis;Radiodiagnosis. Nmr imagery. Nmr spectrometry;Segmentation;Shape;Software;Tracking;Training;Transformations (mathematics);Vision systems
日期:	2014-01-01
上傳時間:	2026-04-23 15:18:35 (UTC+8)
出版者:	Springer Verlag;Berlin/Heidelberg: Springer Berlin Heidelberg
摘要:	摘要： This paper presents a new multiphase active contour model for object segmentation and tracking. The paper introduces an energy functional which incorporates image feature information to drive contours toward desired boundaries, and shape priors to constrain the evolution of the contours with respect to reference shapes. The shape priors, in the model, are constructed by performing the incremental principal component analysis (iPCA) on a set of training shapes and newly available shapes which are the resulted shapes derived from preceding segmented images. By performing iPCA, the shape priors are updated without repeatedly performing PCA on the entire training set including the existing shapes and the newly available shapes. In addition, by incrementally updating the resulted shape information of consecutive frames, the approach allows to encode shape priors even when the database of training shapes is not available. Moreover, in shape alignment steps, we exploit the shape normalization procedure, which takes into account the affine transformation, to directly calculate pose transformations instead of solving a set of coupled partial differential equations as in gradient descent-based approaches. Besides, we represent the level set functions as linear combinations of continuous basic functions expressed on B-spline basics for a fast convergence to the segmentation solution. The model is applied to simultaneously segment/track both the endocardium and epicardium of left ventricle from cardiac magnetic resonance (MR) images. Experimental results show the desired performances of the proposed model. 其他題名： Machine Vision and Applications 出版者： Berlin/Heidelberg: Springer Berlin Heidelberg 出版日期： 2014-11-01 出處： Machine vision and applications, 2014-11, Vol.25 (8), p.1967-1987 資源來源： EBSCOhost Academic Search Premier 版權： Springer-Verlag Berlin Heidelberg 2014 版權： 2015 INIST-CNRS 版權： Machine Vision and Applications is a copyright of Springer, (2014). All Rights Reserved. 識別號： ISSN: 0932-8092 識別號： EISSN: 1432-1769 識別號： DOI: 10.1007/s00138-014-0626-1 識別號： CODEN: MVAPEO
顯示於類別:	[機械工程學系] 期刊論文

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