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]

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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
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article

Deep Learning-Based Attenuation Correction for FDG PET: Reducing Radiation Exposure and Mitigating Motion Artifacts

German Medical Science (German Research Foundation)
Medical Imaging Techniques and Applications
article

Deep Learning-Based Attenuation Correction for FDG PET: Reducing Radiation Exposure and Mitigating Motion Artifacts

article en

Abstract

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]

German Medical Science (German Research Foundation)
University Hospital Regensburg (DE)
Good health and well-being
Openalex Percentile: Top 35%
Medical Imaging Techniques and Applications
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Deep Learning-Based Attenuation Correction for FDG PET: Reducing Radiation Exposure and Mitigating Motion Artifacts · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS