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Dataset Information

JEDI: Joint Estimation Diffusion Imaging of macroscopic and microscopic tissue properties.


ABSTRACT:

Purpose

A new method for enhancing the sensitivity of diffusion MRI (dMRI) by combining the data from single (sPFG) and double (dPFG) pulsed field gradient experiments is presented.

Methods

This method uses our JESTER framework to combine microscopic anisotropy information from dFPG experiments using a new method called diffusion tensor subspace imaging (DiTSI) to augment the macroscopic anisotropy information from sPFG data analyzed using our guided by entropy spectrum pathways method. This new method, called joint estimation diffusion imaging (JEDI), combines the sensitivity to macroscopic diffusion anisotropy of sPFG with the sensitivity to microscopic diffusion anisotropy of dPFG methods.

Results

Its ability to produce significantly more detailed anisotropy maps a

SUBMITTER: Frank LR 

PROVIDER: S-EPMC7180135 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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