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Quantifying White Matter Microstructure with a Unified Spatio-Temporal Diffusion Weighted MRI Continuous Representation

Abstract : A current problem Diffusion MRI (dMRI) based microscopy under the narrow pulse approximation is how to best exploit the 4D (q-space + diffusion time) nature of the signal. Assaf et al. showed that exploring the dMRI attenuation at different diffusion times provides information on the distribution of axonal diameters within a voxel in their seminal work: AxCaliber. However, AxCaliber requires knowing beforehand the predominant orientation of the axons within the analyzed volume to adjust the q-space sampling accordingly. In this work, we show that our novel sparse representation of the 3D+t dMRI signal, enables the recovery of axonal diameter distribution parameters without the need to know the axonal direction at acquisition time.
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Conference papers
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https://hal.inria.fr/hal-01406348
Contributor : Demian Wassermann <>
Submitted on : Thursday, December 1, 2016 - 9:57:16 AM
Last modification on : Wednesday, August 19, 2020 - 11:18:12 AM

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  • HAL Id : hal-01406348, version 1

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Demian Wassermann, Alexandra Petiet, Mathieu Santin, Rutger Fick, Anne-Charlotte Philippe, et al.. Quantifying White Matter Microstructure with a Unified Spatio-Temporal Diffusion Weighted MRI Continuous Representation. International Symposium of Magnetic Resonance in Medicine, 2016, Singapore, Singapore. ⟨hal-01406348⟩

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