Combined diffusion‐relaxometry microstructure imaging: Current status and future prospects

Abstract

Microstructure imaging seeks to noninvasively measure and map microscopic tissue features by pairing mathematical modeling with tailored MRI protocols. This article reviews an emerging paradigm that has the potential to provide a more detailed assessment of tissue microstructure—combined diffusion‐relaxometry imaging. Combined diffusion‐relaxometry acquisitions vary multiple MR contrast encodings—such as b‐value, gradient direction, inversion time, and echo time—in a multidimensional acquisition space. When paired with suitable analysis techniques, this enables quantification of correlations and coupling between multiple MR parameters—such as diffusivity, , , and . This opens the possibility of disentangling multiple tissue compartments (within voxels) that are indistinguishable with single‐contrast scans, enabling a new generation of microstructural maps with improved biological sensitivity and specificity.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 19, 2021
Source ID
10.1002/mrm.28963

Entities

People

  • Carl‐fredrik Westin
  • Daeun Kim
  • Dan Benjamini
  • Frederik Laun
  • Gregory Lemberskiy
  • Jana Hutter
  • Joao P. De Almeida Martins
  • Justin P. Haldar
  • Karla L. Miller
  • Marco Palombo
  • Paddy J Slator

Organizations

  • Center for Neuroscience and Regenerative Medicine
  • Engineering and Physical Sciences Research Council
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development
  • Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Grossman School of Medicine
  • Harvard Medical School
  • King's College London
  • Lund University
  • St. Olavs hospital, Trondheim University Hospital
  • United States Department of Defense
  • University College London
  • University of Oxford
  • University of Southern California

Tags

Fields of Study

  • Physics

Readers

  • Medical Imaging.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Space