A review of segmentation methods in short axis cardiac MR images

Medical Image Analysis

Volumn 15, Issue 2, 2011, Pages 169-184

  Petitjean, Caroline ^a   Dacher, Jean Nicolas ^b  

^a UNIVERSITÉ DE ROUEN   (France)

^b ROUEN UNIVERSITY HOSPITAL   (France)

Author keywords

Cardiac; Deformable models; MRI; Segmentation; Survey

Indexed keywords

CARDIAC; CARDIAC MR; CARDIAC SEGMENTATION; CINE-MRI; DEFORMABLE MODELS; FUTURE TRENDS; HEART CAVITIES; MEDICAL ISSUES; MRI; PRIOR KNOWLEDGE; SEGMENTATION; SEGMENTATION METHODS; SEGMENTATION RESULTS; SEMI-AUTOMATED; SHORT AXIS IMAGES;

DEFORMATION; HEART; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RESONANCE; SURVEYS;

IMAGE SEGMENTATION;

AUTOMATED PATTERN RECOGNITION; CARDIAC MAGNETIC RESONANCE IMAGING; CLINICAL ASSESSMENT; DIAGNOSTIC ACCURACY; ENDOCARDIUM; EPICARDIUM; HEART FUNCTION; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; LABORATORY AUTOMATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REVIEW;

ALGORITHMS; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR DYSFUNCTION;

EID: 79851510761     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.12.004     Document Type: Review

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