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Segmentation of the right ventricle in MRI images using a dual active shape model
dc.contributor.authorEl‐rewaidy, Hossam
dc.contributor.authorIbrahim, El‐sayed
dc.contributor.authorFahmy, Ahmed S
dc.date.accessioned2021-02-04T21:51:52Z
dc.date.available2021-02-04T21:51:52Z
dc.date.issued2016-10
dc.identifier.citationEl‐rewaidy, Hossam ; Ibrahim, El‐sayed ; Fahmy, Ahmed S (2016). "Segmentation of the right ventricle in MRI images using a dual active shape model." IET Image Processing 10(10): 717-723.
dc.identifier.issn1751-9659
dc.identifier.issn1751-9667
dc.identifier.urihttps://hdl.handle.net/2027.42/166226
dc.publisherThe Institution of Engineering and Technology
dc.publisherWiley Periodicals, Inc.
dc.subject.otherRV shape variability
dc.subject.otherRV shape complexity
dc.subject.othershort- axis cardiac MRI images
dc.subject.otherProcrustes method
dc.subject.otherBookstein coordinate transformation
dc.subject.other(C5260B) Computer vision and image processing techniques
dc.subject.other(B7510N) Biomedical magnetic resonance imaging and spectroscopy
dc.subject.other(B6135) Optical, image and video signal processing
dc.subject.other(A8760I) Medical magnetic resonance imaging and spectroscopy
dc.subject.other(A8770E) Patient diagnostic methods and instrumentation
dc.subject.other(C7330) Biology and medical computing
dc.subject.otherimage segmentation
dc.subject.otherbiomedical MRI
dc.subject.othermedical image processing
dc.subject.otherright ventricle segmentation
dc.subject.othercardiac magnetic resonance images
dc.subject.otherdual active shape model
dc.subject.otherASM framework
dc.titleSegmentation of the right ventricle in MRI images using a dual active shape model
dc.typeArticle
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/166226/1/ipr2bf01366.pdf
dc.identifier.doi10.1049/iet-ipr.2016.0073
dc.identifier.doihttps://dx.doi.org/10.7302/149
dc.identifier.sourceIET Image Processing
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dc.working.doi10.7302/149en
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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