Poisson diffusion probabilistic model for low‐dose SPECT sinogram denoising

The proposed PDPM demonstrates promising performance in the denoising of low-dose SPECT sinograms. We presented a preliminary framework for PDPM and refined it to create the final version of PDPM, which is designed for the task of low-dose SPECT sinogram denoising. Our PDPM achieved favorable denoising results on both simulated and clinical datasets.

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Publication Details

Journal
Medical Physics
Published
2025-03-19
DOI
https://doi.org/10.1002/mp.17760
Citations
1
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

Poisson diffusion probabilistic model for low‐dose SPECT sinogram denoising

Ruifan Wu, Lai Peng, Haiying Li, Ying Jiang et al.
1 citations
Medical Physics
Medical Imaging Techniques and Applications
1.36
article

Poisson diffusion probabilistic model for low‐dose SPECT sinogram denoising

Ruifan Wu, Lai Peng, Haiying Li, Ying Jiang, Woliang Yuan
article en
1 citations

Abstract

The proposed PDPM demonstrates promising performance in the denoising of low-dose SPECT sinograms. We presented a preliminary framework for PDPM and refined it to create the final version of PDPM, which is designed for the task of low-dose SPECT sinogram denoising. Our PDPM achieved favorable denoising results on both simulated and clinical datasets.

Medical PhysicsVol. 52(6)
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN)
Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China, Special Project for Research and Development in Key areas of Guangdong Province
Openalex Percentile: Top 22%
Medical Imaging Techniques and Applications
1.36
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