Iterative reweighted linear least squares for accurate, fast, and robust estimation of diffusion magnetic resonance parameters

Magnetic Resonance in Medicine

Volumn 73, Issue 6, 2015, Pages 2174-2184

  Collier, Quinten ^a   Veraart, Jelle ^a   Jeurissen, Ben ^a   Den Dekker, Arnold J ^a,b   Sijbers, Jan ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

diffusion tensor imaging; MRI; outlier detection; robust; weighted linear least squares

Indexed keywords

ANOMALY DETECTION; BIOMEDICAL SIGNAL PROCESSING; DIFFUSION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MAGNETIC RESONANCE IMAGING; MAGNETISM; PARAMETER ESTIMATION; RESONANCE; RESTORATION; SIGNAL TO NOISE RATIO; STATISTICS; SYSTEM STABILITY; TENSORS;

DIFFUSION PARAMETERS; DIFFUSION-WEIGHTED MAGNETIC RESONANCE; DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING; ESTIMATION TECHNIQUES; LINEAR LEAST SQUARES; RESONANCE PARAMETERS; ROBUST; STATE-OF-THE-ART TECHNIQUES;

DIFFUSION TENSOR IMAGING;

ARTICLE; ARTIFACT; BINOCULAR CONVERGENCE; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; FRACTIONAL ANISOTROPY; INFORMATION PROCESSING; ITERATIVELY REWEIGHTED LINEAR LEAST SQUARE; LINEAR REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MEASUREMENT ACCURACY; MEASUREMENT ERROR; MONTE CARLO METHOD; RADIOLOGICAL PARAMETERS; SIGNAL NOISE RATIO; SIMULATION; VARIANCE; ALGORITHM; BRAIN MAPPING; FEMALE; HUMAN; IMAGE ENHANCEMENT; NEWBORN; PROCEDURES; REGRESSION ANALYSIS;

ALGORITHMS; ARTIFACTS; BRAIN MAPPING; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; INFANT, NEWBORN; LEAST-SQUARES ANALYSIS; SIGNAL-TO-NOISE RATIO;

EID: 84929649876     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25351     Document Type: Article

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