Learning-based ventricle detection from cardiac MR and CT images

IEEE Transactions on Medical Imaging

Volumn 16, Issue 4, 1997, Pages 378-391

  JohnWeng, Pradeep ^a   Singh, Ajit ^a   Chiu, M Y ^a  

^a Michigan State University   (United States)

Author keywords

Cardiac images; Learning; Left ventricle; Region detection; Right ventricle; Segmentation; Threshold

Indexed keywords

CARDIOVASCULAR SYSTEM; COMPUTERIZED TOMOGRAPHY; IMAGE ANALYSIS; IMAGE SEGMENTATION; LEARNING ALGORITHMS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; NONINVASIVE MEDICAL PROCEDURES;

CARDIAC IMAGES; HISTOGRAM ANALYSIS; LEARNING BASED VENTRICLE DETECTION; REGIONS OF INTEREST;

MEDICAL IMAGING;

ALGORITHM; COMPUTER ASSISTED TOMOGRAPHY; HEART CONTRACTION; HEART DISEASE; HEART VENTRICLE; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; RADIOGRAPHY; REVIEW; TEACHING;

ALGORITHMS; COMPUTER-ASSISTED INSTRUCTION; HEART DISEASES; HEART VENTRICLES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MYOCARDIAL CONTRACTION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0031195396     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.611346     Document Type: Article

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