Sensitivities of statistical distribution model and diffusion kurtosis model in varying microstructural environments: A Monte Carlo study

Journal of Magnetic Resonance

Volumn 230, Issue , 2013, Pages 19-26

  Lee, Chu Yu ^a,b   Bennett, Kevin M ^b   Debbins, Josef P ^a,b  

^a BARROW NEUROLOGICAL INSTITUTE   (United States)

^b Arizona State University   (United States)

Author keywords

Diffusion; Kurtosis; Monte Carlo; Non Gaussian; Non monoexponential; Simulation; Statistical

Indexed keywords

KURTOSIS; MONTE CARLO; NON-GAUSSIAN; NON-MONOEXPONENTIAL; SIMULATION; STATISTICAL;

BRAIN MODELS; CELLS; CYTOLOGY; DIFFUSION; DIFFUSION IN LIQUIDS; HIGHER ORDER STATISTICS; MONTE CARLO METHODS; SIGNAL PROCESSING; TISSUE;

COMPUTER SIMULATION;

WATER;

ARTICLE; BIOLOGICAL MODEL; BODY WATER; CHEMISTRY; COMPUTER SIMULATION; DIFFUSION; METABOLISM; METHODOLOGY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

BODY WATER; COMPUTER SIMULATION; DIFFUSION; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; STATISTICAL DISTRIBUTIONS; WATER;

EID: 84874002579     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2013.01.014     Document Type: Article

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