Beyond mechanics: Maximum‐likelihood‐driven PET detector alignment calibration
This framework bridges hardware imperfections and quantitative fidelity by enabling robust recalibration in mechanically unstable or mobile settings. It is compatible with diverse phantom types and scanner topologies, and operates effectively even in the absence of precise scanner-phantom alignment. By reducing dependency on strict manufacturing tolerances while preserving an accurate line of response positioning, our approach offers a practical and scalable solution for modern PET calibration, where quantitative accuracy is paramount.
Authors
- Y. Kuhl (ORCID: https://orcid.org/0000-0002-4548-0111)
- Bjoern Weissler
- David Schug (ORCID: https://orcid.org/0000-0002-5154-8303)
- Julian Thull
- Florian Mueller
- Volkmar Schulz
Institutions
- Fraunhofer Institute for Digital Medicine (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1002/mp.70256
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Nvidia
- European Commission
- Bundesministerium für Bildung und Forschung
- RWTH Aachen University
- Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen