Deep learning-based acceleration and denoising of 0.55T MRI for enhanced conspicuity of vestibular Schwannoma post contrast administration
This study underlines that advanced DL-based denoising techniques can reduce the examination time by more than half while simultaneously improving image quality.
Authors
- Markus Kopp (ORCID: https://orcid.org/0000-0002-9267-8622)
- Maximilian Hinsen (ORCID: https://orcid.org/0000-0003-3545-8196)
- Martin Zeilinger (ORCID: https://orcid.org/0000-0001-8097-067X)
- Claudius Sebastian Mathy (ORCID: https://orcid.org/0000-0002-6834-3355)
- Armin Michael Nagel (ORCID: https://orcid.org/0000-0003-0948-1421)
- Joachim Hornung (ORCID: https://orcid.org/0000-0002-8294-4245)
- Michael Uder (ORCID: https://orcid.org/0000-0001-6238-4247)
- Matthias May (ORCID: https://orcid.org/0000-0002-2540-850X)
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Universitätsklinikum Erlangen (DE)
- Krankenhaus Barmherzige Brüder (DE)
Publication Details
- Journal
- Neuroradiology
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1007/s00234-025-03758-z
- Primary Topic
- Meningioma and schwannoma management
- Type
- article
- Field-Weighted Citation Impact
- 0.00