ArticleMagnetic resonance insights2015
Accuracies and Contrasts of Models of the Diffusion-Weighted-Dependent Attenuation of the MRI Signal at Intermediate b-values.
Article in Magnetic resonance insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01686516 (Methodological Study of Synaptic Plasticity Imaging With Diffusion MRI), which is not on this map. Cited by 5 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Methodological Study of Synaptic Plasticity Imaging With Diffusion MRI
Who cites it
5 citing papers in PubMed.
- Complementarity of BOLD and ADC-fMRI in Mapping Brain Visual Processing in the Rat.NMR in biomedicine · 2026Article
- High B-value diffusion tensor imaging for early detection of hippocampal microstructural alteration in a mouse model of multiple sclerosis.Scientific reports · 2022Article
- Estimation of diffusion, perfusion and fractional volumes using a multi-compartment relaxation-compensated intravoxel incoherent motion (IVIM) signal model.European journal of radiology open · 2019Article
- Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain.NeuroImage · 2017Article
- Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma.European radiology · 2017Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diffusion-weighted-dependent attenuation of the MRI signal E(b) is extremely sensitive to microstructural features. The aim of this study was to determine which mathematical model of the E(b) signal most accurately describes it in the brain. The models compared were the monoexponential model, the stretched exponential model, the truncated cumulant expansion (TCE) model, the biexponential model, and the triexponential model. Acquisition was performed with nine b-values up to 2500 s/mm(2) in 12 healthy volunteers. The goodness-of-fit was studied with F-tests and with the Akaike information criterion. Tissue contrasts were differentiated with a multiple comparison corrected nonparametric analysis of variance. F-test showed that the TCE model was better than the biexponential model in gray and white matter. Corrected Akaike information criterion showed that the TCE model has the best accuracy and produced the most reliable contrasts in white matter among all models studied. In conclusion, the TCE model was found to be the best model to infer the microstructural properties of brain tissue.
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Registered trials
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