Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail.
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ABSTRACT: Characterization of porous media is essential in a wide range of biomedical and industrial applications. Microstructural features can be probed non-invasively by diffusion magnetic resonance imaging (dMRI). However, diffusion encoding in conventional dMRI may yield similar signatures for very different microstructures, which represents a significant limitation for disentangling individual microstructural features in heterogeneous materials. To solve this problem, we propose an augmented multidimensional diffusion encoding (MDE) framework, which unlocks a novel encoding dimension to assess time-dependent diffusion specific to structures with different microscopic anisotropies. Our approach relies on spectral analysis of complex but experimentally efficient MDE waveforms. Two independent con
SUBMITTER: Lundell H
PROVIDER: S-EPMC6588609 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
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