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

Year: 2025

Type: conference-paper

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]

Source: German Medical Science (German Research Foundation)

DOI: 10.3205/25gmds186

Authors: Mikolajczak, Jakub, Schmidt, Daniel, Hellwig, Dirk

Institution: University Hospital Regensburg

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7103878547

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