How accurately can the parameters from a model of anisotropic 3He gas diffusion in lung acinar airways be estimated? Bayesian view

Journal of Magnetic Resonance

Volumn 184, Issue 1, 2007, Pages 62-71

  Sukstanskii, Alexander L ^a   Bretthorst, G Larry ^a   Chang, Yulin V ^a   Conradi, Mark S ^a   Yablonskiy, Dmitriy A ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

Bayesian analysis; Diffusion MRI; Hyperpolarized gas; Lung airways

Indexed keywords

AIR TRANSPORTATION; DIFFUSION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION;

BAYESIAN ANALYSIS; DIFFUSION MRI; HYPERPOLARIZED GAS; LUNG AIRWAYS;

MAGNETIC ANISOTROPY;

CONTRAST MEDIUM;

ANISOTROPY; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; CHEMISTRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION; HUMAN; IMAGE ENHANCEMENT; LUNG; LUNG EMPHYSEMA; METABOLISM; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ANISOTROPY; BAYES THEOREM; COMPUTER SIMULATION; CONTRAST MEDIA; DIFFUSION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PULMONARY EMPHYSEMA; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33846023726     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2006.09.019     Document Type: Article

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