In Vivo Myelin Water Quantification Using Diffusion--Relaxation Correlation MRI: A Comparison of 1D and 2D Methods

MCML Authors

Claudio Mayrink Verdun

Dr.

* Former Member

→ Group Felix Krahmer
 Optimization & Data Analysis

Abstract

Multidimensional Magnetic Resonance Imaging (MRI) is a versatile tool for microstructure mapping. We use a diffusion weighted inversion recovery spin echo (DW-IR-SE) sequence with spiral readouts at ultra-strong gradients to acquire a rich diffusion–relaxation data set with sensitivity to myelin water. We reconstruct 1D and 2D spectra with a two-step convex optimization approach and investigate a variety of multidimensional MRI methods, including 1D multi-component relaxometry, 1D multi-component diffusometry, 2D relaxation correlation imaging, and 2D diffusion-relaxation correlation spectroscopic imaging (DR-CSI), in terms of their potential to quantify tissue microstructure, including the myelin water fraction (MWF). We observe a distinct spectral peak that we attribute to myelin water in multi-component T1 relaxometry, T1-T2 correlation, T1-D correlation, and T2-D correlation imaging. Due to lower achievable echo times compared to diffusometry, MWF maps from relaxometry have higher quality. Whilst 1D multi-component T1 data allows much faster myelin mapping, 2D approaches could offer unique insights into tissue microstructure and especially myelin diffusion.

article EEN+23

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Applied Magnetic Resonance

54. Aug. 2023.

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Authors

S. Endt • M. Engel • E. Naldi • R. Assereto • M. Molendowska • L. Mueller • C. M. Verdun • C. M. Pirkl • M. Palombo • D. K. Jones • M. I. Menzel

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Links

DOI

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Research Area

 A2 | Mathematical Foundations