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

Viewed

Total article views: 2,942 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,012 847 83 2,942 374 83 82
  • HTML: 2,012
  • PDF: 847
  • XML: 83
  • Total: 2,942
  • Supplement: 374
  • BibTeX: 83
  • EndNote: 82
Views and downloads (calculated since 13 Nov 2019)
Cumulative views and downloads (calculated since 13 Nov 2019)

Viewed (geographical distribution)

Total article views: 2,942 (including HTML, PDF, and XML) Thereof 2,622 with geography defined and 320 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 21 Nov 2024
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.