DTI segmentation via the combined analysis of connectivity maps and tensor distances

NeuroImage

Volumn 60, Issue 2, 2012, Pages 1025-1035

  Barbieri, Sebastiano ^a   Bauer, Miriam H A ^b   Klein, Jan ^a   Moltz, Jan ^a   Nimsky, Christopher ^b   Hahn, Horst K ^a  

^a FRAUNHOFER MEVIS   (Germany)

^b PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Connectivity; Diffusion tensor imaging; Non parametric; Phantom; Riemannian manifold; Segmentation; Variational noise

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; BRAIN MAPPING; CLINICAL ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; MULTIPLE SCLEROSIS; PHANTOM; PRIORITY JOURNAL; PROBABILITY; PYRAMIDAL TRACT; REPRODUCIBILITY; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; TRACTOGRAPHY;

ALGORITHMS; BRAIN; BRAIN MAPPING; DIFFUSION TENSOR IMAGING; HUMANS; NERVE NET; SOFTWARE;

EID: 84857012272     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.01.076     Document Type: Article

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