MRF-based intensity invariant elastic registration of cardiac perfusion images using saliency information

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 4, 2011, Pages 991-1000

  Mahapatra, Dwarikanath ^a   Sun, Ying ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Contrast invariant; elastic registration; magnetic resonance (MR) images; Markov random fields (MRFs); saliency

Indexed keywords

COMPUTATION TIME; CONTRAST ENHANCEMENT; CONTRAST-INVARIANT; DYNAMIC CONTRAST; ELASTIC REGISTRATION; GRADIENT INFORMATIONS; GRAPH CUT; HUMAN VISUAL SYSTEMS; INTENSITY CHANGE; INTENSITY INVARIANT; INTENSITY-BASED REGISTRATION; MARKOV RANDOM FIELDS; MARKOV RANDOM FIELDS (MRFS); MR IMAGES; NARROW BANDS; NEUROBIOLOGICAL MODEL; PATIENT IMAGES; PERFUSION IMAGES; REGISTRATION ACCURACY; RELATIVE DISPLACEMENT; SALIENCY; SIMILARITY METRICS;

IMAGE SEGMENTATION; PIXELS; STRUCTURAL FRAMES;

MAGNETIC RESONANCE;

ARTICLE; DYNAMIC CONTRAST ENHANCED MAGNETIC RESONANCE; HEART PERFUSION; HUMAN; IMAGE ANALYSIS; INFORMATION PROCESSING; MARKOV RANDOM FIELD; NARROW BAND IMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE; REGISTRATION; STATISTICAL PARAMETERS; VISUAL SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MAGNETIC RESONANCE IMAGING, CINE; MARKOV CHAINS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 79952972483     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2093576     Document Type: Article

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