Deep Learning-Based Attenuation Correction for FDG PET: Reducing Radiation Exposure and Mitigating Motion Artifacts
Introduction: Radiation exposure poses risks to human health, making it essential to minimize patient dose in medical imaging. Positron Emission Tomography (PET) is a powerful tool for cancer diagnosis and staging, but it requires Computed Tomography (CT) for attenuation correction (AC). However, CT [for full text, please go to the a.m. URL]
Institutions
- University Hospital Regensburg (DE)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2025-11-03
- DOI
- https://doi.org/10.3205/25gmds186
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00