Automated contour detection in cardiac MRI using active appearance models: The effect of the composition of the training set

Investigative Radiology

Volumn 42, Issue 10, 2007, Pages 697-703

  Angelié, Emmanuelle ^a   Oost, Elco R ^a   Hendriksen, Dennis ^a   Lelieveldt, Boudewijn P F ^a   Van Der Geest, Rob J ^a   Reiber, Johan H C ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

AAM (active appearance model); Automatic left ventricle segmentation; Cardiac MR; Short axis; Training set

Indexed keywords

ARTICLE; CLINICAL PRACTICE; DEVICE; FUNCTIONAL ASSESSMENT; HEART EJECTION FRACTION; HEART LEFT VENTRICLE; HUMAN; IMAGE QUALITY; IMAGING SYSTEM; MATHEMATICAL COMPUTING; MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TECHNIQUE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HEART STROKE VOLUME; HEART VENTRICLE; INSTRUMENTATION; METHODOLOGY; OBSERVER VARIATION; PATHOLOGY; PHYSIOLOGY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTER SIMULATION; HEART VENTRICLES; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; STROKE VOLUME;

EID: 38449091867     PISSN: 00209996     EISSN: None     Source Type: Journal    
DOI: 10.1097/RLI.0b013e318070dc93     Document Type: Article

References (24)