Articles | Volume 1, issue 1
https://doi.org/10.5194/mr-1-27-2020
https://doi.org/10.5194/mr-1-27-2020
Research article
 | 
28 Feb 2020
Research article |  | 28 Feb 2020

Transferring principles of solid-state and Laplace NMR to the field of in vivo brain MRI

João P. de Almeida Martins, Chantal M. W. Tax, Filip Szczepankiewicz, Derek K. Jones, Carl-Fredrik Westin, and Daniel Topgaard

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by João P. de Almeida Martins on behalf of the Authors (17 Feb 2020)  Author's response   Manuscript 
ED: Publish as is (18 Feb 2020) by Markus Barth
AR by João P. de Almeida Martins on behalf of the Authors (19 Feb 2020)  Manuscript 
Download
Short summary
Detailed interpretation of brain MRI data is hampered by the fact that each imaging voxel comprises several types of cells and tissues. To address this, we adapt signal encoding and data inversion strategies from solid-state and low-field NMR to quantify the sub-voxel heterogeneity of the human brain with 5D relaxation–diffusion distributions wherein distinct tissue components are resolved, individually characterized, and subsequently mapped throughout the volume of the brain.