Evaluation of fluence reduction versus sparsity for diffusion posterior sampling reconstruction in low-dose CT
and compared reconstructions with an equivalent total incident photons (TIP). Reconstruction quality was evaluated in terms of PSNR (Peak Signal-to-Noise Ratio), bias, and posterior sample variability. We found that the number of views had a strong influence on image quality and that most performance curves showed a transition where too few views had a large negative impact on performance. We observed that there is an advantage to be gained by jointly optimizing both the fluence per view and the number of views, with a trend of an increasing number of views required for a higher total incident fluence. These findings provide a strategy for optimizing CT acquisition protocols that adapt both fluence per view and sparsity to optimally maintain image quality at reduced radiation doses.
Authors
- Altea Lorenzon
- Zimo Liu
- Grace J. Gang
- Xin Eric Wang
- J. Webster Stayman
- Xiao Jiang
Institutions
- University of the Sciences (US)
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- University of Pennsylvania (US)
- Philadelphia University (US)
Publication Details
- Published
- 2026-04-02
- DOI
- https://doi.org/10.1117/12.3087836
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health