Iterative co-linearity filtering and parameterization of fiber tracts in the entire cingulum

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 853-860

  De Groot, Marius ^a   Vernooij, Meike W ^a   Klein, Stefan ^a   Leemans, Alexander ^b,c   De Boer, Renske ^a   Van Der Lugt, Aad ^a   Breteler, Monique M B ^a   Niessen, Wiro J ^a,d  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c CARDIFF UNIVERSITY   (United Kingdom)

^d DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED EXTRACTION; DIFFUSION TENSOR IMAGING; FIBER TRACTS; FRACTIONAL ANISOTROPY; GENERAL POPULATION; ITERATIVE FASHION; LINEARITY FILTERING; PARAMETERIZED; TRACTOGRAPHY;

LINEARIZATION; MEDICAL COMPUTING;

TENSORS;

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

ALGORITHMS; DIFFUSION TENSOR IMAGING; GYRUS CINGULI; 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;

EID: 80052433696     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_105     Document Type: Conference Paper

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