A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: Application to cardiac MR images

IEEE Transactions on Medical Imaging

Volumn 32, Issue 7, 2013, Pages 1302-1315

  Bai, Wenjia ^a   Shi, Wenzhe ^a   O'Regan, Declan P ^b   Tong, Tong ^a   Wang, Haiyan ^a   Jamil Copley, Shahnaz ^c   Peters, Nicholas S ^c   Rueckert, Daniel ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b HAMMERSMITH HOSPITAL   (United Kingdom)

^c IMPERIAL COLLEGE HEALTHCARE NHS TRUST   (United Kingdom)

Author keywords

Image registration; image segmentation; multi atlas segmentation; patch based segmentation

Indexed keywords

BAYESIAN FRAMEWORKS; CARDIAC MAGNETIC RESONANCE IMAGES; CARDIO-VASCULAR DISEASE; MYOCARDIAL CONTOURS; REGISTRATION ACCURACY; SEGMENTATION ACCURACY; SUBJECTIVE EXPERIENCES; VENTRICULAR FUNCTIONS;

DIAGNOSIS; IMAGE REGISTRATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGE PROCESSING;

MAGNETIC RESONANCE;

ARTICLE; CARDIOVASCULAR DISEASE; CARDIOVASCULAR MAGNETIC RESONANCE; DIAGNOSTIC ACCURACY; HEART MUSCLE; HUMAN; REGISTRATION;

ALGORITHMS; BAYES THEOREM; HEART; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84880225856     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2256922     Document Type: Article

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