SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography

NeuroImage

Volumn 119, Issue , 2015, Pages 338-351

  Smith, Robert E ^a   Tournier, Jacques Donald ^a,b,c   Calamante, Fernando ^a,b,d   Connelly, Alan ^a,b,d  

^a FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Diffusion; Magnetic resonance imaging; SIFT; Streamlines; Structural connectivity; Tractography

Indexed keywords

ARTICLE; CELL DENSITY; CLASSIFICATION ALGORITHM; CONNECTOME; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; DIGITAL FILTERING; HUMAN; HUMAN EXPERIMENT; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING PHANTOM; IMAGING SYSTEM; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NERVE FIBER DENSITY; NEUROIMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; PROCESS MODEL; PROCESS OPTIMIZATION; QUANTITATIVE STUDY; SPHERICAL DECONVOLUTION INFORMED FILTERING OF TRACTOGRAM ALGORITHM 2; VALIDATION STUDY; VOXEL BASED MORPHOMETRY; WHITE MATTER; ALGORITHM; ANATOMY AND HISTOLOGY; BRAIN; DIFFUSION WEIGHTED IMAGING; PROCEDURES;

ALGORITHMS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; WHITE MATTER;

EID: 84937776325     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.06.092     Document Type: Article

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