Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

NeuroImage

Volumn 141, Issue , 2016, Pages 556-572

  Andersson, Jesper L R ^a   Graham, Mark S ^b   Zsoldos, Enikő ^a   Sotiropoulos, Stamatios N ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Diffusion; Movement; Outlier; Registration; Signal loss

Indexed keywords

ALGORITHM; ARTICLE; BODY MOVEMENT; BRAIN REGION; BRAIN SLICE; DIAGNOSTIC ERROR; DIAGNOSTIC VALUE; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; EDDY COVARIANCE; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FRACTIONAL ANISOTROPY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; JOINT FUNCTION; MEAN DIFFUSIVITY; NEUROIMAGING; NONPARAMETRIC TEST; NUCLEAR MAGNETIC RESONANCE SCANNER; PREDICTION; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION; SIMULATION; ANATOMY AND HISTOLOGY; ARTIFACT; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; IMAGE ENHANCEMENT; MOTION; PROCEDURES; REPRODUCIBILITY;

ALGORITHMS; ARTIFACTS; BRAIN; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84983517709     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.06.058     Document Type: Article

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