Generalizable preconditioning strategies for MAP PET reconstruction using Poisson likelihood
These results demonstrate that decomposing the Hessian into diagonal and circulant components is an effective strategy for accelerating MAP PET reconstruction. The proposed preconditioner significantly improves convergence speed in challenging, ill-conditioned Poisson PET inverse problems.
Authors
- Matteo Colombo
- Luca Presotto (ORCID: https://orcid.org/0000-0002-8809-0877)
- M. Paganoni (ORCID: https://orcid.org/0000-0003-2461-275X)
Institutions
- Ospedale San Giuseppe (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Frontiers in Nuclear Medicine
- Published
- 2025-12-02
- DOI
- https://doi.org/10.3389/fnume.2025.1661332
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- European Commission