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

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

doi:https://doi.org/10.5194/mr-1-27-2020

Articles | Volume 1, issue 1

https://doi.org/10.5194/mr-1-27-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/mr-1-27-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 1, issue 1

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

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Final revised paper (published on 28 Feb 2020)
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Preprint (discussion started on 13 Nov 2019)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Reviewer comments', Anonymous Referee #1, 19 Dec 2019
RC2: 'comments', Anonymous Referee #2, 08 Feb 2020
AC1: 'Response to referee comments', João P. de Almeida Martins, 16 Feb 2020

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

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.