Sparse bayesian inference of white matter fiber orientations from compressed multi-resolution diffusion MRI

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

Volumn 9349, Issue , 2015, Pages 117-124

  Pisharady, Pramod Kumar ^a   Duarte Carvajalino, Julio M ^a   Sotiropoulos, Stamatios N ^b   Sapiro, Guillermo ^c,d   Lenglet, Christophe ^a  

^a UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c Duke University   (United States)

^d DUKE UNIVERSITY   (United States)

Author keywords

Brain imaging; Compressive sensing; Diffusion MRI; Fiber orientation; Linear un mixing; Sparse bayesian inference

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; BRAIN MAPPING; COMPRESSED SENSING; DECONVOLUTION; DIFFUSION; FIBER REINFORCED MATERIALS; FIBERS; INFERENCE ENGINES; NEUROIMAGING; UNCERTAINTY ANALYSIS; VOLUME FRACTION;

BRAIN IMAGING; COMPRESSIVE SENSING; DIFFUSION MRIS; SPARSE BAYESIAN; UNMIXING;

MAGNETIC RESONANCE IMAGING;

EID: 84947436505     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24553-9_15     Document Type: Chapter

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