Distribution of Multiple Sclerosis lesions within the brain

Mennecke, A; Hock, S; Tsaktanis, T; Mayer, A-L; Bettray, C; Schmidt, M; Zaiss, M; Rothhammer, V; Dörfler, A

doi:10.1007/s00062-023-01336-5

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Distribution of Multiple Sclerosis lesions within the brain

Mennecke, A., Hock, S., Tsaktanis, T., Mayer, A.-L., Bettray, C., Schmidt, M., et al. (2023). Distribution of Multiple Sclerosis lesions within the brain. Clinical Neuroradiology, 33(Supplement 1): 169, S32.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-D832-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-D836-3

Genre: Meeting Abstract

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https://link.springer.com/content/pdf/10.1007/s00062-023-01336-5.pdf (Publisher version) Open Access status unknown

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Creators:
Mennecke, A, Author
Hock, S, Author
Tsaktanis, T, Author
Mayer, A-L, Author
Bettray, C, Author
Schmidt, M, Author
Zaiss, M¹, Author
Rothhammer, V, Author
Dörfler, A, Author

Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796

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Abstract: Introduction: Focal lesions in Multiple Sclerosis are not uniformly distributed throughout the white matter; instead, they exhibit a spa- tial distribution pattern characterized by periventricular accumulation. Automatic lesion detection algorithms are available, offering inde- pendence from investigator bias. The aim of this study is to obtain voxel-wise probabilities of lesion occurrence and overall brain lesion distribution by transforming the lesion masks and their correspond- ing anatomical images into the Montreal Neurological Institute (MNI) space.

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Dates: Date issued: 2023-09

Publication Status: Issued

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Identifiers: DOI: 10.1007/s00062-023-01336-5

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Title: 58. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e.V. und 30. Jahrestagung der Österreichischen Gesellschaft für Neuroradiologie e.V. (NEURORAD 2023)

Place of Event: Kassel, Germany

Start-/End Date: 2023-10-04 - 2023-10-06

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Title: Clinical Neuroradiology

Source Genre: Journal

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Publ. Info: Springer

Pages: - Volume / Issue: 33 (Supplement 1) Sequence Number: 169 Start / End Page: S32 Identifier: ISSN: 0939-7116