Diffeomorphic nonlinear transformations: A local parametric approach for image registration

Lecture Notes in Computer Science

Volumn 3565, Issue , 2005, Pages 174-185

  Narayanan, R ^a   Fessler, J A ^a,b   Park, H ^b   Meyer, C R ^a,b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGING TECHNIQUES; ITERATIVE METHODS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS;

DIFFEOMORPHIC NONLINEAR TRANSFORMATIONS; IMAGE REGISTRATION; MODEL DEFORMATIONS; NONLINEAR PARAMETRIC APPROACH;

MATHEMATICAL TRANSFORMATIONS;

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

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

EID: 33746366156     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11505730_15     Document Type: Conference Paper

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