A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography

Medical Image Analysis

Volumn 15, Issue 4, 2011, Pages 414-425

  Aganj, Iman ^a   Lenglet, Christophe ^a,b   Jahanshad, Neda ^c   Yacoub, Essa ^b   Harel, Noam ^b   Thompson, Paul M ^c   Sapiro, Guillermo ^a  

^a University of Minnesota   (United States)

^b UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Diffusion weighted magnetic resonance imaging (DWI); Hough transform; Orientation distribution function (ODF); Population studies; Tractography

Indexed keywords

BRAIN DATASETS; DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING; EXHAUSTIVE SEARCH; HIGH-ANGULAR RESOLUTION; HUMAN BRAIN; LOCAL MINIMUMS; ORIENTATION DISTRIBUTION FUNCTION (ODF); POPULATION STUDIES; PROBABILISTIC APPROACHES; PROBABILISTIC FIBER TRACKING; TRACTOGRAPHY; VOTING PROCESS;

ALGORITHMS; DISTRIBUTION FUNCTIONS; HOUGH TRANSFORMS; MAGNETIC RESONANCE IMAGING; RESONANCE; THREE DIMENSIONAL;

DIFFUSION;

ALGORITHM; ARTICLE; BRAIN; BRAIN TISSUE; CONCEPTUAL FRAMEWORK; DIFFUSION WEIGHTED IMAGING; EXPERIMENTAL STUDY; FRACTIONAL ANISOTROPY; GEOMETRY; HAPLORHINI; HOUGH TRANSFORM; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; NEUROIMAGING; PHANTOM; PRIORITY JOURNAL; PROBABILITY; SCORING SYSTEM; SIMULATION; THREE DIMENSIONAL IMAGING; TRACTOGRAPHY;

ALGORITHMS; ANIMALS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HAPLORHINI; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79953657422     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2011.01.003     Document Type: Article

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