Automatic real-time quality assessment for optoacoustic mesoscopy data
Due to its novelty, the quality of raster-scan optoacoustic mesoscopy (RSOM) clinical images is conventionally evaluated subjectively, hampering RSOM’s scalability. We tackle this by developing an automatic quality assessment method validated on large RSOM datasets.
Authors
- Andreas L. Birkenfeld (ORCID: https://orcid.org/0000-0003-1407-9023)
- Dominik Jüstel (ORCID: https://orcid.org/0000-0002-5464-6291)
- Andreas Vosseler (ORCID: https://orcid.org/0000-0002-6351-9673)
- Vasilis Ntziachristos (ORCID: https://orcid.org/0000-0002-9988-0233)
- Manuel Castillo López
- Hubert Preißl (ORCID: https://orcid.org/0000-0002-8859-4661)
- Reiner Jumpertz von Schwartzenberg (ORCID: https://orcid.org/0000-0002-5544-099X)
- Suhanyaa Nitkunanantharajah (ORCID: https://orcid.org/0000-0002-9065-4790)
- Manuel Gehmeyr
Institutions
- Helmholtz Zentrum München (DE)
- Translational Research in Oncology (FR)
- German Centre for Cardiovascular Research (DE)
- German Center for Diabetes Research (DE)
- University of Tübingen (DE)
Publication Details
- Published
- 2025-12-18
- DOI
- https://doi.org/10.1117/12.3098217
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00