Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISBI.2009.5192974
Title: Improved semi-automated segmentation of cardiac CT and MR images
Authors: Li, C.
Jia, X. 
Sun, Y. 
Keywords: Level set
Myocardium segmentation
Region based
Shape prior
Issue Date: 2009
Source: Li, C.,Jia, X.,Sun, Y. (2009). Improved semi-automated segmentation of cardiac CT and MR images. Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 : 25-28. ScholarBank@NUS Repository. https://doi.org/10.1109/ISBI.2009.5192974
Abstract: This paper presents a semi-automated segmentation method for short-axis cardiac CT and MR images. The main contributions of this work are: 1) using two different energy functionals for endocardium and epicardium segmentation to account for their distinctive characteristics; 2) proposing a dual-background model that is suitable for representing intensity distributions of the background in epicardium segmentation; 3) designing a novel shape prior term that is robust and controllable; and 4) an improved estimation of myocardium thickness by using edge information. Experimental results on cardiac CT, perfusion and cine MR images show that our method is robust and effective for both CT and MR images. © 2009 IEEE.
Source Title: Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/70558
ISBN: 9781424439324
DOI: 10.1109/ISBI.2009.5192974
Appears in Collections:Staff Publications

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