Afzali, M, Mueller, L, Sakaie, K et al. (6 more authors) (2022) MR Fingerprinting with b-tensor encoding for simultaneous quantification of relaxation and diffusion in a single scan. Magnetic Resonance in Medicine, 88 (5). pp. 2043-2057. ISSN 0740-3194
Abstract
Purpose
Although both relaxation and diffusion imaging are sensitive to tissue microstructure, studies have reported limited sensitivity and robustness of using relaxation or conventional diffusion alone to characterize tissue microstructure. Recently, it has been shown that tensor-valued diffusion encoding and joint relaxation-diffusion quantification enable more reliable quantification of compartment-specific microstructural properties. However, scan times to acquire such data can be prohibitive. Here, we aim to simultaneously quantify relaxation and diffusion using MR fingerprinting (MRF) and b-tensor encoding in a clinically feasible time.
Methods
We developed multidimensional MRF scans (mdMRF) with linear and spherical b-tensor encoding (LTE and STE) to simultaneously quantify T1, T2, and ADC maps from a single scan. The image quality, accuracy, and scan efficiency were compared between the mdMRF using LTE and STE. Moreover, we investigated the robustness of different sequence designs to signal errors and their impact on the maps.
Results
T1 and T2 maps derived from the mdMRF scans have consistently high image quality, while ADC maps are sensitive to different sequence designs. Notably, the fast imaging steady state precession (FISP)-based mdMRF scan with peripheral pulse gating provides the best ADC maps that are free of image distortion and shading artifacts.
Conclusion
We demonstrated the feasibility of quantifying T1, T2, and ADC maps simultaneously from a single mdMRF scan in around 24 s/slice. The map quality and quantitative values are consistent with the reference scans.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | b-tensor encoding, diffusion imaging, magnetic resonance fingerprinting, multidimensional MRF, quantitative MR, relaxometry |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds) |
Funding Information: | Funder Grant number Wellcome Trust 219536/Z/19/Z |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jun 2022 12:55 |
Last Modified: | 12 Feb 2023 10:35 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/mrm.29352 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187630 |