Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation
Journal article
Barakovic, Muhamed, Tax, Chantal M. W., Rudrapatna, Umesh, Chamberland, Maxime, Rafael-Patino, Jonathan, Granziera, Cristina, Thiran, Jean-Philippe, Daducci, Alessandro, Canales-Rodríguez, Erick J. and Jones, Derek K.. (2021). Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. NeuroImage. 227, p. 117617. https://doi.org/10.1016/j.neuroimage.2020.117617
Authors | Barakovic, Muhamed, Tax, Chantal M. W., Rudrapatna, Umesh, Chamberland, Maxime, Rafael-Patino, Jonathan, Granziera, Cristina, Thiran, Jean-Philippe, Daducci, Alessandro, Canales-Rodríguez, Erick J. and Jones, Derek K. |
---|---|
Abstract | At the typical spatial resolution of MRI in the human brain, approximately 60–90% of voxels contain multiple fiber populations. Quantifying microstructural properties of distinct fiber populations within a voxel is therefore challenging but necessary. While progress has been made for diffusion and T1-relaxation properties, how to resolve intra-voxel T2 heterogeneity remains an open question. Here a novel framework, named COMMIT-T2, is proposed that uses tractography-based spatial regularization with diffusion-relaxometry data to estimate multiple intra-axonal T2 values within a voxel. Unlike previously-proposed voxel-based T2 estimation methods, which (when applied in white matter) implicitly assume just one fiber bundle in the voxel or the same T2 for all bundles in the voxel, COMMIT-T2 can recover specific T2 values for each unique fiber population passing through the voxel. In this approach, the number of recovered unique T2 values is not determined by a number of model parameters set a priori, but rather by the number of tractography-reconstructed streamlines passing through the voxel. Proof-of-concept is provided in silico and in vivo, including a demonstration that distinct tract-specific T2 profiles can be recovered even in the three-way crossing of the corpus callosum, arcuate fasciculus, and corticospinal tract. We demonstrate the favourable performance of COMMIT-T2 compared to that of voxelwise approaches for mapping intra-axonal T2 exploiting diffusion, including a direction-averaged method and AMICO-T2, a new extension to the previously-proposed Accelerated Microstructure Imaging via Convex Optimization (AMICO) framework. |
Keywords | human brain; diffusion MRI; T2 relaxometry; tractography; white matter; COMMIT |
Year | 2021 |
Journal | NeuroImage |
Journal citation | 227, p. 117617 |
Publisher | Elsevier B.V. |
ISSN | 1053-8119 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.neuroimage.2020.117617 |
Scopus EID | 2-s2.0-85098461672 |
Open access | Published as ‘gold’ (paid) open access |
Research or scholarly | Research |
Page range | 1-12 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 07 Dec 2020 |
Publication process dates | |
Accepted | 29 Nov 2020 |
Deposited | 30 Jun 2021 |
https://acuresearchbank.acu.edu.au/item/8w4w0/resolving-bundle-specific-intra-axonal-t2-values-within-a-voxel-using-diffusion-relaxation-tract-based-estimation
Download files
Publisher's version
Barakovic_2021_Resolving_bundle_specific_intra_axonal_T2.pdf | |
License: CC BY-NC-ND 4.0 | |
File access level: Open |
44
total views26
total downloads1
views this month2
downloads this month