Tensor metrics and charged containers for 3D Q-space sample distribution

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 679-686

  Knutsson, Hans ^a   Westin, Carl Fredrik ^b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

diffusion MRI; electrostatic forces; Q space sampling

Indexed keywords

CONSTANT CHARGES; DIFFERENT DISTRIBUTIONS; DIFFUSION MRIS; ELECTROSTATIC REPULSION; Q-SPACE; SAMPLE DISTRIBUTIONS; TENSOR METRIC; VERSATILE TOOLS;

ELECTROSTATIC FORCE; MAGNETIC RESONANCE IMAGING; OPTIMIZATION; TENSORS;

CONTAINERS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATIC ELECTRICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATIC ELECTRICITY;

EID: 84894628602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_85     Document Type: Conference Paper

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