Methods for tractography-driven surface registration of brain structures

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 705-712

  Petrović, Aleksandar ^a   Smith, Stephen M ^a   Menke, Ricarda A ^a   Jenkinson, Mark ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; BRAIN STRUCTURE; COMPLEMENTARY DATA; CONNECTIVITY PATTERN; CONTROL SUBJECT; DEFORMATION FIELD; IMAGE MODALITY; MULTISCALES; NOVEL SURFACES; REAL IMAGES; REGISTRATION CONSISTENCY; SIMILARITY FUNCTIONS; SUB-STRUCTURES; SURFACE CORRESPONDENCE; SURFACE REGISTRATION; TRACTOGRAPHY;

ALGORITHMS; DISEASE CONTROL;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THALAMUS; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE; THALAMUS;

EID: 77952252016     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_87     Document Type: Conference Paper

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