Fast tensor image morphing for elastic registration

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 721-729

  Yap, Pew Thian ^a   Wu, Guorong ^a   Zhu, Hongtu ^a,b   Lin, Weili ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTRIBUTE VECTORS; COMPUTATION TIME; CORRESPONDENCE PROBLEMS; DEFORMABLE MATCHING; DEFORMABLE REGISTRATION; DENSE TRANSFORMATION; ELASTIC REGISTRATION; HIGH-DIMENSIONAL; LOCAL MINIMUMS; MATCHING SPEED; MULTISCALES; NOVEL ALGORITHM; OPTIMAL SOLUTIONS; REGIONAL DISTRIBUTION; TENSOR IMAGES; THIN PLATE SPLINE; TOPOLOGY PRESERVING;

ALGORITHMS; COST REDUCTION; DEFORMATION; MEDICAL COMPUTING;

TENSORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; ELASTOGRAPHY; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; ELASTICITY IMAGING TECHNIQUES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883846750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_89     Document Type: Conference Paper

References (10)

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