Segmentation of scarred and non-scarred myocardium in LG enhanced CMR images using intensity-based textural analysis

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 5698-5701

  Kotu, Lasya Priya ^a   Engan, Kjersti ^a   Eftestøl, Trygve ^a   Ørn, Stein ^b   Woie, Leik ^b  

^a UNIVERSITY OF STAVANGER   (Norway)

^b STAVANGER UNIVERSITY HOSPITAL   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; BAYES CLASSIFICATION; CARDIAC MAGNETIC RESONANCE; HIGH SENSITIVITY; INTENSITY VALUES; INTENSITY-BASED; LEFT VENTRICLES; MANUAL SEGMENTATION; MAXIMUM LIKELIHOOD ESTIMATOR; TEXTURAL ANALYSIS; TEXTURE ANALYSIS; TEXTURE FEATURES;

GADOLINIUM; MAGNETIC RESONANCE; MAXIMUM LIKELIHOOD ESTIMATION; TEXTURES;

IMAGE SEGMENTATION;

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STUNNED HEART MUSCLE;

ALGORITHMS; CONTRAST MEDIA; GADOLINIUM; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MYOCARDIAL STUNNING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84055184126     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091379     Document Type: Conference Paper

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