Non-rigid 2D-3D medical image registration using Markov random fields

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 163-170

  Ferrante, Enzo ^a   Paragios, Nikos ^a  

^a Center for Visual Computing   (France)

Author keywords

2D 3D registration; discrete optimization; markov random fields; medical imaging

Indexed keywords

2-D-3-D REGISTRATION; COUPLED FORMULATION; DISCRETE OPTIMIZATION; IN-PLANE DEFORMATION; LINEAR CONSISTENCIES; MAPPING ALGORITHMS; MARKOV RANDOM FIELDS; PLANE TRANSFORMATION;

CONFORMAL MAPPING; DEFORMATION; IMAGE REGISTRATION; LINEAR TRANSFORMATIONS; MARKOV PROCESSES; MEDICAL IMAGING; ALGORITHMS; MEDICAL COMPUTING; OPTIMIZATION;

THREE DIMENSIONAL; MEDICAL IMAGING;

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

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84894631250     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_21     Document Type: Conference Paper

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