SPECT-MPI iterative denoising during the reconstruction process using a two-phase learned convolutional neural network
The iterative deep denoising method outperforms 2D low-pass Gaussian filtering with an 8.4-mm FWHM and post-reconstruction deep denoising approaches.
Authors
- Negar Shahamiri (ORCID: https://orcid.org/0000-0001-8593-175X)
- Mehran Yazdi
- Mahdi Haghighatafshar (ORCID: https://orcid.org/0000-0003-4480-0002)
- Seyed Mohammad Entezarmahdi (ORCID: https://orcid.org/0000-0002-5368-8916)
- F. Yousefzadeh (ORCID: https://orcid.org/0009-0006-2976-7709)
- Reza Faghihi (ORCID: https://orcid.org/0000-0003-3238-6887)
- Sadegh Ghasempoor
- Zahra Abuee Mehrizi
Institutions
- Shiraz University (IR)
- Shiraz University of Medical Sciences (IR)
- Alzahra Medical and Education Center (IR)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1186/s40658-024-00687-3
- Citations
- 2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Shiraz University
- Alzahra University