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Dataset Information

Towards unconstrained compartment modeling in white matter using diffusion-relaxation MRI with tensor-valued diffusion encoding.


ABSTRACT:

Purpose

To optimize diffusion-relaxation MRI with tensor-valued diffusion encoding for precise estimation of compartment-specific fractions, diffusivities, and T2 values within a two-compartment model of white matter, and to explore the approach in vivo.

Methods

Sampling protocols featuring different b-values (b), b-tensor shapes (bΔ ), and echo times (TE) were optimized using Cramér-Rao lower bounds (CRLB). Whole-brain data were acquired in children, adults, and elderly with white matter lesions. Compartment fractions, diffusivities, and T2 values were estimated in a model featuring two microstructural compartments represented by a "stick" and a "zeppelin."

Results

Precise parameter estimates were enabled by sampling protocols featuri

SUBMITTER: Lampinen B 

PROVIDER: S-EPMC7652211 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature