# Incomplete Nutation Diffusion Imaging: an ultrafast, single-scan approach for diffusion mapping

## TL;DR

This paper introduces INDI, a rapid single-scan diffusion MRI technique that captures two diffusion contrasts in milliseconds, enabling dynamic microstructural mapping without T2 bias, demonstrated through in-vivo and phantom experiments.

## Contribution

The study presents INDI, a novel ultrafast diffusion imaging method that acquires two diffusion contrasts in a single shot, significantly reducing scan time and improving temporal resolution.

## Key findings

- INDI's mean diffusivities match DTI and IDE in phantoms.
- In brain tissues, INDI and UF-IDE agree closely, outperforming DTI.
- Simulations identify optimal regimes for INDI's application.

## Abstract

Purpose: Diffusion Magnetic Resonance Imaging (dMRI) is confounded by its long acquisition duration, thereby thwarting the detection of rapid microstructural changes, especially when diffusivity variations are accompanied by rapid changes in T2. The purpose of the present study is to accelerate dMRI to a single scan acquisition, and to enable a more accurate estimation of diffusivity as function of time. Methods: A general methodology termed Incomplete Initial Nutation Diffusion Imaging (INDI) capturing two diffusion contrasts in a single shot, is presented. INDI creates a longitudinal magnetization reservoir that facilitates the successive acquisition of two images separated by only a few milliseconds. INDI's theory is presented, followed by proof-of-concept ex- and in-vivo experiments at 16.4 T and 9.4 T. Results: Mean diffusivities (MDs) extracted from INDI were comparable with Diffusion Tensor Imaging (DTI) and the two-shot IDE in the water phantom. As expected in the brain tissues, DTI provided lower MD than UF-IDE and IDE, but IDE and UF-IDE were in excellent agreement. Simulations are presented for identifying the regimes where INDI is most beneficial. Conclusions: INDI accelerates dMRI acquisition to single-shot mode, which can be of great importance for mapping dynamic microstructural properties in-vivo without T2 bias.

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Source: https://tomesphere.com/paper/1903.08564