Recursive Green's function registration

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 546-553

  Beuthien, Björn ^a,b,c   Kamen, Ali ^d   Fischer, Bernd ^a,b  

^a UNIVERSITY OF LÜBECK   (Germany)

^b FRAUNHOFER MEVIS   (Germany)

^c Graduate School for Computing in Medicine and Life Sciences   (Germany)

^d SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

Green's Function; Nonparametric Image Registration; Recursive Filter

Indexed keywords

DIFFERENTIAL OPERATORS; DISPLACEMENT FIELD; EFFICIENT NUMERICAL SCHEMES; LINEAR ALGORITHMS; NON-PARAMETRIC; NUMERICAL SOLUTION; OPTIMIZERS; RECURSIVE FILTERING; RECURSIVE FILTERS; REGULARIZER; RIGHT-HAND SIDES; SIMILARITY MEASURE; SYSTEM-BASED; TIME-CONSUMING PARTS; WHOLE PROCESS;

COMPUTER VISION; DIFFERENTIATION (CALCULUS); IMAGE REGISTRATION; MATHEMATICAL OPERATORS; MEDICAL COMPUTING; MEDICAL IMAGING; MEDICAL PROBLEMS; RECURSIVE FUNCTIONS;

GREEN'S FUNCTION;

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

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

EID: 84883849161     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_67     Document Type: Conference Paper

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