Spiral volumetric optoacoustic tomography of reduced oxygen saturation in the spinal cord of M83 mouse model of Parkinson’s disease
We developed tools for deep-learning-based analysis for the segmentation of mouse spinal cord structural MRI data, and volumetric analysis of sO<sub>2</sub><sup>SVOT</sup> data. We demonstrated non-invasive high-resolution imaging of reduced sO<sub>2</sub><sup>SVOT</sup> in the absence of volumetric structural changes in the spinal cord of PD M83 mouse model.
Authors
- Julien Cohen‐Adad (ORCID: https://orcid.org/0000-0003-3662-9532)
- Maik Krüger
- Benjamin F. Combes (ORCID: https://orcid.org/0009-0003-1794-6505)
- Sandeep Kumar Kalva (ORCID: https://orcid.org/0000-0003-1034-7246)
- Daniela Noaín (ORCID: https://orcid.org/0000-0001-5482-7933)
- R. Weber (ORCID: https://orcid.org/0000-0002-6912-3573)
- Uwe Konietzko (ORCID: https://orcid.org/0000-0002-6897-232X)
- Inês Dias (ORCID: https://orcid.org/0000-0002-5404-4506)
- Ruiqing Ni (ORCID: https://orcid.org/0000-0002-0793-2113)
- Per-Göran Gillberg
- Christian R. Baumann (ORCID: https://orcid.org/0000-0003-3417-1978)
- Daniel Razansky (ORCID: https://orcid.org/0000-0001-8676-0964)
- Agathe Tournant
- Pierre‐Louis Benveniste (ORCID: https://orcid.org/0009-0003-3122-1957)
- Man Hoi Law
- Joshua Newton (ORCID: https://orcid.org/0000-0002-7892-361X)
- Roger M. Nitsch
- Xose Luis Dean-Ben
- Christoph Höck
Institutions
- University of Zurich (CH)
- University Hospital of Bern (CH)
- Karolinska Institutet (SE)
- ETH Zurich (CH)
- Institute for Biomedical Engineering (CH)
- Swiss Institute for Regenerative Medicine (CH)
- University Hospital of Zurich (CH)
- Light Chain Bioscience (Switzerland) (CH)
- Mila - Quebec Artificial Intelligence Institute (CA)
- Polytechnique Montréal (CA)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1007/s00259-024-06938-w
- Citations
- 7
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Eidgenössische Technische Hochschule Zürich
- Universität Zürich