High‐resolution neural network‐driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady‐state free precession frequency profile-Reference-Cited by-同舟云学术

High‐resolution neural network‐driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady‐state free precession frequency profile

Published:2021-12-29 Issue: Volume: Page:
ISSN:0952-3480
Container-title:NMR in Biomedicine
language:en
Short-container-title:NMR in Biomedicine

Author:

Birk Florian¹^ORCID,Glang Felix¹^ORCID,Loktyushin Alexander¹²^ORCID,Birkl Christoph³^ORCID,Ehses Philipp⁴^ORCID,Scheffler Klaus¹⁵^ORCID,Heule Rahel¹⁵^ORCID

Affiliation:

1. High Field Magnetic Resonance Max Planck Institute for Biological Cybernetics Tübingen Germany

2. Empirical Inference Max Planck Institute for Intelligent Systems Tübingen Germany

3. Department of Neuroradiology Medical University of Innsbruck Innsbruck Austria

4. German Center for Neurodegenerative Diseases (DZNE) Bonn Germany

5. Department of Biomedical Magnetic Resonance University of Tübingen Tübingen Germany

Funder

Deutsche Forschungsgemeinschaft

Max-Planck-Gesellschaft

Publisher

Wiley

Subject

Spectroscopy,Radiology, Nuclear Medicine and imaging,Molecular Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nbm.4669

Reference58 articles.

1. Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner

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3. Diffusion tensor imaging can detect and quantify corticospinal tract degeneration after stroke

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5. Assessing a standardised approach to measuring corticospinal integrity after stroke with DTI

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