Non-rigid registration with missing correspondences in preoperative and postresection brain images

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 367-374

  Chitphakdithai, Nicha ^a   Duncan, James S ^a,b  

^a Yale University   (United States)

^b YALE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN IMAGES; CORRESPONDENCE PROBLEMS; DATA SETS; EXPECTATION-MAXIMIZATION ALGORITHMS; IMAGE ALIGNMENT; INTENSITY-BASED; MAXIMUM A POSTERIORI; NON-RIGID REGISTRATION ALGORITHMS; NONRIGID REGISTRATION; NONRIGID REGISTRATION METHOD; SEGMENTATION ALGORITHMS; SIMILARITY METRICS; SYNTHETIC AND REAL DATA;

ALGORITHMS; IMAGE SEGMENTATION; MEDICAL COMPUTING; OPTIMIZATION;

MEDICAL IMAGING;

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

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

EID: 80055045923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_45     Document Type: Conference Paper

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