NDLI: Variational level set method with shape constraint and application to oedema cardiac magnetic resonance image

Content Provider	IEEE Xplore Digital Library
Author	Kadir, K. Hao Gao Payne, A. Soraghan, J. Berry, C.
Copyright Year	2011
Description	Author affiliation: Faculty of Medicine, BHF Cardiovascular Research Centre, University of Glasgow, UK (Payne, A.; Berry, C.) \|\| Centre for excellence in Signal and Image Processing, Department of Electronic and Electrical, University of Strathclyde, UK (Kadir, K.; Hao Gao; Soraghan, J.)
Abstract	Quantification of oedema area after acute myocardial infarction (MI) is very important in clinical prognosis for differentiating the viable and death myocardial tissues. In order to quantify oedema region, the first step is to segment the myocardial wall accurately. This paper applies variational level set method with shape constraint to oedema cardiac magnetic resonance (CMR) images. Shape information of the myocardial wall is introduced into the variational level set formulation, and the performance of the automatic method is tested on T2 weighted CMR images from 8 patients, and compared with manual analysis from two clinical experts. Results show that the proposed automatic segmentation framework can segment left ventricle (LV) boundary with no significant difference compared to manual segmentation,
Starting Page	1
Ending Page	5
File Size	800753
Page Count	5
File Format	PDF
ISBN	9781457702730
e-ISBN	9781457702747
DOI	10.1109/ICDSP.2011.6004960
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-06
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Myocardium Level set Manuals Image edge detection Shape Equations Cardiac MRI Oedema Left ventricle Segmentation
Content Type	Text
Resource Type	Article

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