Automatic delineation of the myocardial wall from CT images via shape segmentation and variational region growing

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 10, 2013, Pages 2887-2895

  Zhu, Liangjia ^a   Gao, Yi ^b   Appia, Vikram ^a   Yezzi, Anthony ^a   Arepalli, Chesnal ^c   Faber, Tracy ^c   Stillman, Arthur ^c   Tannenbaum, Allen ^d  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

Left ventricle (LV); myocardial wall segmentation; right ventricle (RV); salient component; shape segmentation; variational region growing

Indexed keywords

LEFT VENTRICLES; REGION GROWING; RIGHT VENTRICLE; SALIENT COMPONENT; SHAPE SEGMENTATION;

COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; IMAGE SEGMENTATION;

HEART;

ACCURACY; ARTICLE; AUTOANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; ENDOCARDIUM; EPICARDIUM; EXPERIMENTAL PIG; EXPERIMENTAL STUDY; HEART LEFT VENTRICLE WALL; HEART RIGHT VENTRICLE; HEART RIGHT VENTRICLE WALL; HUMAN; IMAGE ANALYSIS; IMAGE SEGMENTATION; MATHEMATICAL MODEL; NONHUMAN; VARIATIONAL REGION GROWINGL;

ALGORITHMS; ANIMALS; ENDOCARDIUM; HEART VENTRICLES; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SWINE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84884569615     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2013.2266118     Document Type: Article

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