A multi-scale kernel bundle for LDDMM: Towards sparse deformation description across space and scales

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

Volumn 6801 LNCS, Issue , 2011, Pages 624-635

  Sommer, Stefan ^a   Nielsen, Mads ^a,b   Lauze, François ^a,b   Pennec, Xavier ^c  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b Synarc Imaging Technologies   (Denmark)

^c INRIA   (France)

Author keywords

computational anatomy; diffeomorphic registration; kernels; landmarks; LDDKBM; LDDMM; momentum; scale; sparsity

Indexed keywords

COMPUTATIONAL ANATOMY; DIFFEOMORPHIC REGISTRATION; KERNELS; LANDMARKS; LDDKBM; LDDMM; SCALE; SPARSITY;

COMPUTERIZED TOMOGRAPHY; DATA PROCESSING; DEFORMATION; STANDARDS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; LUNG; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79959608720     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_51     Document Type: Conference Paper

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