Groupwise surface correspondence by optimization: Representation and regularization

Medical Image Analysis

Volumn 12, Issue 6, 2008, Pages 787-796

  Davies, Rhodri H ^a   Twining, Carole J ^a   Taylor, Chris ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Automatic landmarking; Correspondence problem; Description length; Fluid regularization; Statistical shape modelling

Indexed keywords

IMAGE ENHANCEMENT; IMAGE REGISTRATION; OPTIMIZATION;

AUTOMATIC LANDMARKING; COMPUTATIONAL COSTS; COMPUTATIONAL GAINS; CONVERGENCE TIMES; CORRESPONDENCE PROBLEM; DATASETS; DESCRIPTION LENGTH; IMAGE REPRESENTATIONS; MODEL QUALITIES; QUANTITATIVE EVALUATIONS; REGULAR GRIDS; REGULARIZATION METHODS; STATISTICAL SHAPE MODELLING; VALUED FUNCTIONS;

COMPUTATIONAL COMPLEXITY;

ARTICLE; CORRESPONDENCE ANALYSIS; IMAGE ANALYSIS; INTERMETHOD COMPARISON; NONPARAMETRIC TEST; PARAMETRIC TEST; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 54249141547     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2008.03.009     Document Type: Article

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