Quantification of tissue microstructure using tensor-valued diffusion encoding: brain and body

Afzali, Maryam, Mueller, Lars, Szczepankiewicz, Filip, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 and Schneider, Jurgen E. 2022. Quantification of tissue microstructure using tensor-valued diffusion encoding: brain and body. Frontiers of Physics 10 , 809133. 10.3389/fphy.2022.809133

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Abstract

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a non-invasive technique to probe tissue microstructure. Conventional Stejskal–Tanner diffusion encoding (i.e., encoding along a single axis), is unable to disentangle different microstructural features within a voxel; If a voxel contains microcompartments that vary in more than one attribute (e.g., size, shape, orientation), it can be difficult to quantify one of those attributes in isolation using Stejskal–Tanner diffusion encoding. Multidimensional diffusion encoding, in which the water diffusion is encoded along multiple directions in q-space (characterized by the so-called “b-tensor”) has been proposed previously to solve this problem. The shape of the b-tensor can be used as an additional encoding dimension and provides sensitivity to microscopic anisotropy. This has been applied in multiple organs, including brain, heart, breast, kidney and prostate. In this work, we discuss the advantages of using b-tensor encoding in different organs.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	Springer Verlag (Germany)
ISSN:	2095-0462
Date of First Compliant Deposit:	25 January 2022
Date of Acceptance:	24 January 2022
Last Modified:	03 May 2023 20:57
URI:	https://orca.cardiff.ac.uk/id/eprint/146876

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