Generalization of deformable registration in Riemannian Sobolev spaces

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 586-593

  Zikic, Darko ^a   Baust, Maximilian ^a   Kamen, Ali ^b   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Deformable Registration; Preconditioning; Riemannian Manifolds; Sobolev Spaces

Indexed keywords

DEFORMABLE REGISTRATION; ELASTIC REGISTRATION; ENERGY MODEL; GRADIENT FLOW; NOTION OF DISTANCE; ORDERS OF MAGNITUDE; PRECONDITIONING; RIEMANNIAN MANIFOLD; RIEMANNIAN METRICS; RUNTIMES; SEMI-IMPLICIT; SIMILARITY MEASURE; SOBOLEV SPACE; TWO-POINT;

DEFORMATION; GEOMETRY; MEDICAL COMPUTING; MEDICAL IMAGING;

SOBOLEV SPACES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

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

EID: 84883831384     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_72     Document Type: Conference Paper

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