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

Related authors

Multidimensional encoding of restricted and anisotropic diffusion by double rotation of the q vector
Hong Jiang, Leo Svenningsson, and Daniel Topgaard
Magn. Reson., 4, 73–85, https://doi.org/10.5194/mr-4-73-2023,https://doi.org/10.5194/mr-4-73-2023, 2023
Short summary

Related subject area

Field: MRI | Topic: Signal processing methods
Lipid removal in deuterium metabolic imaging (DMI) using spatial prior knowledge
Robin A. de Graaf, Yanning Liu, Zachary A. Corbin, and Henk M. De Feyter
Magn. Reson., 5, 21–31, https://doi.org/10.5194/mr-5-21-2024,https://doi.org/10.5194/mr-5-21-2024, 2024
Short summary
Nuclear spin noise tomography in three dimensions with iterative simultaneous algebraic reconstruction technique (SART) processing
Stephan J. Ginthör, Judith Schlagnitweit, Matthias Bechmann, and Norbert Müller
Magn. Reson., 1, 165–173, https://doi.org/10.5194/mr-1-165-2020,https://doi.org/10.5194/mr-1-165-2020, 2020
Short summary

Cited articles

Assaf, Y.: Imaging laminar structures in the gray matter with diffusion MRI, Neuroimage, 197, 677–688, https://doi.org/10.1016/j.neuroimage.2017.12.096, 2018. 
Bak, M. and Nielsen, N. C.: REPULSION, a novel approach to efficient powder averaging in solid-state NMR, J. Magn. Reson., 125, 132–139, https://doi.org/10.1006/jmre.1996.1087, 1997. 
Barth, M., Breuer, F., Koopmans, P. J., Norris, D. G., and Poser, B. A.: Simultaneous multislice (SMS) imaging techniques, Magn. Reson. Med., 75, 63–81, https://doi.org/10.1002/mrm.25897, 2016. 
Basser, P. J. and Pierpaoli, C.: Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI, J. Magn. Reson. Ser. B, 111, 209–219, https://doi.org/10.1016/j.jmr.2011.09.022, 1996. 
Bazin, P.-L., Alkemade, A., van der Zwaag, W., Caan, M., Mulder, M., and Forstmann, B. U.: Denoising High-Field Multi-Dimensional MRI With Local Complex PCA, Front. Neurosci.-Switz., 13, 1066, https://doi.org/10.3389/fnins.2019.01066, 2019. 
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.