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  Brain tissues have single-voxel signatures in multi-spectral MRI

German, A., Mennecke, A., Martin, J., Hanspach, J., Liebert, A., Herrler, J., et al. (2021). Brain tissues have single-voxel signatures in multi-spectral MRI. NeuroImage, 234: 117986, pp. 1-13. doi:10.1016/j.neuroimage.2021.117986.

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German, A, Author
Mennecke, A, Author
Martin, J, Author
Hanspach, J, Author
Liebert, A, Author
Herrler, J, Author
Kuder, TA, Author
Schmidt, M, Author
Nagel, A, Author
Uder, M, Author
Doerfler, A, Author
Winkler, J, Author
Zaiss, M1, 2, Author              
Laun, FB, Author
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Since the seminal works by Brodmann and contemporaries, it is well-known that different brain regions exhibit unique cytoarchitectonic and myeloarchitectonic features. Transferring the approach of classifying brain tissues - and other tissues - based on their intrinsic features to the realm of magnetic resonance (MR) is a longstanding endeavor. In the 1990s, atlas-based segmentation replaced earlier multi-spectral classification approaches because of the large overlap between the class distributions. Here, we explored the feasibility of performing global brain classification based on intrinsic MR features, and used several technological advances: Ultra-high field MRI, q-space trajectory diffusion imaging revealing voxel-intrinsic diffusion properties, chemical exchange saturation transfer and semi-solid magnetization transfer imaging as a marker of myelination and neurochemistry, and current neural network architectures to analyze the data. In particular, we used the raw image data as well to increase the number of input features. We found that a global brain classification of roughly 97 brain regions was feasible with gross classification accuracy of 60%; and that mapping from voxel-intrinsic MR data to the brain region to which the data belongs is possible. This indicates the presence of unique MR signals of different brain regions, similar to their cytoarchitectonic and myeloarchitectonic fingerprints.

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 Dates: 2021-032021-07
 Publication Status: Published in print
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 234 Sequence Number: 117986 Start / End Page: 1 - 13 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166