In-vivo estimates of axonal characteristics using optimized diffusion MRI protocols for single fibre orientation

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 623-630

  Schneider, Torben ^a   Wheeler Kingshott, Claudia A M ^a   Alexander, Daniel C ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION TIME; CLINICAL STUDY; CLINICAL SYSTEMS; COMPUTER SIMULATION EXPERIMENT; CORPUS CALLOSUM; EXPERIMENTAL SYSTEM; FIBRE ORIENTATION; HEALTHY SUBJECTS; HIGH FIELD; HUMAN BRAIN; IN-VIVO; PARAMETER ESTIMATE;

MEDICAL COMPUTING; MEDICAL IMAGING;

COMPUTER SIMULATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NERVE FIBER; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; AXONS; BRAIN; 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;

EID: 84862831261     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_76     Document Type: Conference Paper

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