A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements

Journal of Magnetic Resonance Imaging

Volumn 18, Issue 2, 2003, Pages 242-254

  Parker, Geoffrey J M ^a   Haroon, Hamied A ^a   Wheeler Kingshott, Claudia A M ^b  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Anatomic connectivity; Brain; Diffusion tensor imaging; Probability; Streamlines; Tractography

Indexed keywords

ANISOTROPY; BRAIN; CALCULATION; CONFERENCE PAPER; DIFFUSION; HUMAN; IMAGE ANALYSIS; METHODOLOGY; MODEL; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILISTIC INDEX OF CONNECTIVITY; PROBABILITY;

ANISOTROPY; BRAIN; DIFFUSION; DIFFUSION MAGNETIC RESONANCE IMAGING; ECHO-PLANAR IMAGING; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; PROBABILITY; UNCERTAINTY;

EID: 0043212183     PISSN: 10531807     EISSN: None     Source Type: Journal    
DOI: 10.1002/jmri.10350     Document Type: Conference Paper

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