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dc.contributor.authorYang, G
dc.contributor.authorZhuang, X
dc.contributor.authorKhan, H
dc.contributor.authorHaldar, S
dc.contributor.authorNyktari, E
dc.contributor.authorLi, L
dc.contributor.authorYe, X
dc.contributor.authorSlabaugh, G
dc.contributor.authorWong, T
dc.contributor.authorMohiaddin, R
dc.contributor.authorKeegan, J
dc.contributor.authorFirmin, D
dc.date.accessioned2021-08-27T10:39:27Z
dc.date.available2021-08-27T10:39:27Z
dc.date.issued2017
dc.identifier.isbn978-1-5106-0712-5
dc.identifier.issn0277-786X
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/73790
dc.description.abstractLate Gadolinium-Enhanced Cardiac MRI (LGE CMRI) is a non-invasive technique, which has shown promise in detecting native and post-ablation atrial scarring. To visualize the scarring, a precise segmentation of the left atrium (LA) and pulmonary veins (PVs) anatomy is performed as a first step—usually from an ECG gated CMRI roadmap acquisition—and the enhanced scar regions from the LGE CMRI images are superimposed. The anatomy of the LA and PVs in particular is highly variable and manual segmentation is labor intensive and highly subjective. In this paper, we developed a multi-atlas propagation based whole heart segmentation (WHS) to delineate the LA and PVs from ECG gated CMRI roadmap scans. While this captures the anatomy of the atrium well, the PVs anatomy is less easily visualized. The process is therefore augmented by semi-automated manual strokes for PVs identification in the registered LGE CMRI data. This allows us to extract more accurate anatomy than the fully automated WHS. Both qualitative visualization and quantitative assessment with respect to manual segmented ground truth showed that our method is efficient and effective with an overall mean Dice score of 0.91.en_US
dc.publisherSPIEen_US
dc.subjectAtlas Propagationen_US
dc.subjectMulti-Scale Patchen_US
dc.subjectLocal Atlas Rankingen_US
dc.subjectWhole Heart Segmentationen_US
dc.subjectSuper-Voxelen_US
dc.subjectCardiac MRIen_US
dc.subjectMedical Imaging Analysisen_US
dc.subjectImage Processingen_US
dc.titleMulti-Atlas Propagation Based Left Atrium Segmentation Coupled with Super-Voxel Based Pulmonary Veins Delineation in Late Gadolinium-Enhanced Cardiac MRIen_US
dc.typeConference Proceedingen_US
dc.rights.holder© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
dc.identifier.doi10.1117/12.2250926
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405564600036&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume10133en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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