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Francesco Ria

Assistant Professor of Radiology
Radiology
Department of Radiology, Durham, NC 27710
Department of Radiology, Durham, NC 27710

Overview


Dr. Francesco Ria is a medical physicist and he serves as an Assistant Professor in the Department of Radiology. Francesco has an extensive expertise in the assessment of procedure performances in radiology. In particular, his research activities focus on the simultaneous evaluation of radiation dose and image quality in vivo in computed tomography providing a comprehensive evaluation of radiological exams. Moreover, Francesco is developing and investigating novel mathematical models that, uniquely in the radiology field, can incorporate a comprehensive and quantitative risk-to-benefit assessment of the procedures; he is continuing to apply his expertise towards the definition of new patient specific risk metrics, and in the assessment of image quality in vivo also using state-of-the-art imaging technology, such as photon counting computed tomography scanners, and machine learning reconstruction algorithms.

Dr. Ria is a member of the American Association of Physicists in Medicine task group 392 (Investigation and Quality Control of Automatic Exposure Control System in CT), of the American Association of Physicists in Medicine Public Education working group (WGATE), and of the Italian Association of Medical Physics task group Dose Monitoring in Diagnostic Imaging.

Current Appointments & Affiliations


Assistant Professor of Radiology · 2023 - Present Radiology, Clinical Science Departments
Member of the Duke Cancer Institute · 2024 - Present Duke Cancer Institute, Institutes and Centers

Recent Publications


Virtual imaging trials in medicine: A brief takeaway of the lessons from the first international summit.

Journal Article Med Phys · March 2025 BACKGROUND: The rapid advancement of medical technologies presents significant challenges for researchers and practitioners. While traditional clinical trials remain the gold standard, they are often limited by high costs, lengthy durations, and ethical co ... Full text Open Access Link to item Cite

Technology Characterization Through Diverse Evaluation Methodologies: Application to Thoracic Imaging in Photon-Counting Computed Tomography.

Journal Article J Comput Assist Tomogr · January 2025 OBJECTIVE: Different methods can be used to condition imaging systems for clinical use. The purpose of this study was to assess how these methods complement one another in evaluating a system for clinical integration of an emerging technology, photon-count ... Full text Open Access Link to item Cite
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Education, Training & Certifications


Universita Degli Studi di Milano (Italy) · 2014 Ph.D.

External Links


Google Scholar