NDLI: Point-Guided Modeling and Segmentation of Myocardium for Low Dose Cardiac CT Images

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Point-Guided Modeling and Segmentation of Myocardium for Low Dose Cardiac CT Images

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Point-Guided Modeling and Segmentation of Myocardium for Low Dose Cardiac CT Images

Content Provider	PubMed Central
Author	Liu, Yixun Nacif, Marcelo Souto Liu, Songtao Sibley, Chris Bluemke, David A. Summers, Ronald M. Yao, Jianhua
Abstract	Cardiac CT is emerging as a preferable modality to detect myocardial stress/rest perfusion; however the insufficient contrast of myocardium on CT image makes its segmentation difficult. In this paper, we present a point-guided modeling and deformable model-based segmentation method. This method first builds a triangular surface model of myocardium through Bézier contour fitting based on a few points selected by clinicians. Then, a deformable model-based segmentation method is developed to refine the segmentation result. The experiments on 8 cases show the accuracy of the segmentation in terms of true positive volume fraction, false positive volume fractions, and average surface distance can reach 91.0%, 0.3%, and 0.6mm, respectively. The comparison between the proposed method and a graph cut-based method is performed. The results demonstrate that this method is effective in improving the accuracy further.
Related Links	http://dx.doi.org/10.1109/embc.2012.6347197
Starting Page	5327
File Format	PDF
ISSN	1557170X
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume Number	2012
Language	English
Publisher Date	2012-08-01
Access Restriction	Open
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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