Non-parametric representation and prediction of single- and multi-shell diffusion-weighted MRI data using Gaussian processes

NeuroImage

Volumn 122, Issue , 2015, Pages 166-176

  Andersson, Jesper L R ^a   Sotiropoulos, Stamatios N ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Diffusion MRI; Gaussian process; Multi shell; Non parametric representation

Indexed keywords

ARTICLE; CALCULATION; CONTROLLED STUDY; COVARIANCE; DIFFUSION WEIGHTED IMAGING; GEOSTATISTICAL ANALYSIS; MATHEMATICAL COMPUTING; NORMAL DISTRIBUTION; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STATISTICAL MODEL; ANATOMY AND HISTOLOGY; ARTIFACT; BIOLOGICAL MODEL; BRAIN; DIFFUSION; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE PROCESSING; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; STATISTICAL ANALYSIS;

ARTIFACTS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION; DIFFUSION MAGNETIC RESONANCE IMAGING; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; NORMAL DISTRIBUTION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84939633194     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.07.067     Document Type: Article

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