On the extraction of topologically correct thickness measurements using Khalimsky's cubic complex

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

Volumn 6801 LNCS, Issue , 2011, Pages 159-170

  Cardoso, M Jorge ^a   Clarkson, Matthew J ^a   Modat, Marc ^a   Ourselin, Sebastien ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Khalimsky; Laplacian; PDE; thickness

Indexed keywords

ACTIVE AREA; ANISOTROPIC GRID; BRAIN MRI; CEREBRAL CORTEX; CORTICAL THICKNESS; DIGITAL PHANTOMS; EQUIPOTENTIAL LINES; FUZZY SEGMENTATION; GROUP DIFFERENCES; KHALIMSKY; LAPLACIANS; LIMITED RESOLUTION; MEDICAL IMAGES; PARAMETRISATION; PARTIAL VOLUME EFFECT; PDE; SPEED FUNCTION; SPHERICAL TOPOLOGY; STATISTICAL SIGNIFICANCE; THICKNESS; WELL-ESTABLISHED TECHNIQUES;

ALGORITHMS; BRAIN; DATA PROCESSING; LAPLACE EQUATION; LAPLACE TRANSFORMS; THICKNESS GAGES; THICKNESS MEASUREMENT; TOPOLOGY;

MEDICAL IMAGING;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 80052338435     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_14     Document Type: Conference Paper

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