Constrained maximum likelihood estimation of the diffusion kurtosis tensor using a Rician noise model

Magnetic Resonance in Medicine

Volumn 66, Issue 3, 2011, Pages 678-686

  Veraart, Jelle ^a   Van Hecke, Wim ^a,b,c   Sijbers, Jan ^a  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b ANTWERP UNIVERSITY HOSPITAL   (Belgium)

^c UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

constraint; DKI; maximum likelihood; parameter estimation; Rician noise

Indexed keywords

BRAIN; DIFFUSION; HIGHER ORDER STATISTICS; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; MOLECULES; PARAMETER ESTIMATION; TENSORS;

ACCURATE QUANTIFICATIONS; COMPUTATIONAL FRAMEWORK; CONSTRAINED MAXIMUM LIKELIHOOD ESTIMATIONS; CONSTRAINT; DIFFUSION KURTOSIS IMAGING; DIFFUSION KURTOSIS TENSORS; DIFFUSION WEIGHTED IMAGES; RICIAN NOISE;

DIFFUSION TENSOR IMAGING;

ARTICLE; CONCEPTUAL FRAMEWORK; DIFFUSION KURTOSIS IMAGING; DIFFUSION TENSOR IMAGING; EMPIRICAL RESEARCH; HUMAN; MATHEMATICAL MODEL; MOLECULAR DYNAMICS; MONTE CARLO METHOD; NOISE MEASUREMENT; NONLINEAR REGRESSION ANALYSIS;

EID: 80051677180     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22835     Document Type: Article

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