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Communication Dans Un Congrès Année : 2021

Diffusion MRI-Based Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference

Résumé

We propose a new method to solve the inverse problem of relating the diffusion MRI signal with cytoarchitectural characteristics in brain gray matter. Specifically, our method has quantitative sensitivity to soma density and volume. Our solution is twofold. First, we propose a new forward model that relates summary statistics of the dMRI signal with tissue parameters, relying on six b-shells only. We then apply a likelihood-free inference based algorithm to invert the proposed model, which not only estimates the tissue parameters that best describe the acquired diffusion signal, but also a full posterior distribution over the parameter space.
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Dates et versions

hal-03156307 , version 1 (02-03-2021)

Identifiants

  • HAL Id : hal-03156307 , version 1

Citer

Maëliss Jallais, Pedro L C Rodrigues, Alexandre Gramfort, Demian Wassermann. Diffusion MRI-Based Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference. ISMRM 2021 - Annual Meeting of the International Society for Magnetic Resonance in Medicine, May 2021, Vancouver / Virtual, Canada. ⟨hal-03156307⟩
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