Characterizing the DIstribution of Anisotropic MicrO-structural eNvironments with diffusion-weighted imaging (DIAMOND)

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

Volumn 8151 LNCS, Issue PART 3, 2013, Pages 518-526

  Scherrer, Benoit ^a   Schwartzman, Armin ^b   Taquet, Maxime ^a   Prabhu, Sanjay P ^a   Sahin, Mustafa ^a   Akhondi Asl, Alireza ^a   Warfield, Simon K ^a  

^a BOSTON CHILDREN S HOSPITAL   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIFFUSION ATTENUATION; DIFFUSION WEIGHTED IMAGING; GAMMA DISTRIBUTION; GAUSSIAN DIFFUSION; GENERALIZATION ERROR; IN-VIVO EXPERIMENTS; TISSUE INTEGRITY; TISSUE MICROSTRUCTURES; MICRO-STRUCTURAL;

ANISOTROPY; DIAMONDS; MICROSTRUCTURE; TISSUE; DIFFUSION; MEDICAL COMPUTING; TENSORS;

DIFFUSION; MEDICAL IMAGING;

ANISOTROPY; ARTICLE; AUDIOVISUAL EQUIPMENT; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONNECTOME; CYTOLOGY; DIFFUSION TENSOR IMAGING; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; ULTRASTRUCTURE;

ANISOTROPY; BRAIN; COMPUTER SIMULATION; CONNECTOME; DIFFUSION TENSOR IMAGING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 84894096176     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40760-4_65     Document Type: Conference Paper

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