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.

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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

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Evaluation of fluence reduction versus sparsity for diffusion posterior sampling reconstruction in low-dose CT

Altea Lorenzon, Zimo Liu, Grace J. Gang, Xin Eric Wang et al.
Advanced Neuroimaging Techniques and Applications
article

Evaluation of fluence reduction versus sparsity for diffusion posterior sampling reconstruction in low-dose CT

Altea Lorenzon, Zimo Liu, Grace J. Gang, Xin Eric Wang, J. Webster Stayman, Xiao Jiang
article en

Abstract

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.

Vol. 13924
University of the Sciences (US), Johns Hopkins University (US), Johns Hopkins Medicine (US), University of Pennsylvania (US), Philadelphia University (US)
National Institutes of Health
Zero hunger
Openalex Percentile: Top 24%
Advanced Neuroimaging Techniques and Applications
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