CVIT and CIPG will be strongly represented at the RSNA Annual Meeting 2025, with a broad slate of scientific presentations, posters, and leadership roles highlighting the lab’s contributions to medical imaging innovation, quality, and patient-centered care.
Advancing Photon-Counting CT and Virtual Trials
A key oral presentation, “Task-Specific Evaluation of Photon-Counting CT Using a 3D-Printed Anthropomorphic Lung Phantom with COPD Pathology,” led by Fong Chi Ho, will be featured in the Physics (Phantoms and Virtual Trials) session on December 1 in S404. The study leverages a highly realistic 3D-printed lung phantom to assess PCCT performance in clinically relevant conditions. This session will be moderated by Ehsan Abadi, PhD, underscoring CVIT leadership in PCCT and virtual trials research.
Innovation in Breast Imaging
In the Breast Imaging Sunday Afternoon Poster Discussions, Raj Kumar Panta, PhD, will present “Impact of Tube Voltage on Iodine Detectability in Contrast-Enhanced Mammography” on November 30 in the Learning Center. The work provides new insight into acquisition parameters affecting contrast performance in mammography—an area where CVIT continues to expand its impact.
Leadership in Quality, Safety, and Risk Communication
CVIT faculty will also help guide discussions on quality and safety in radiology. Ehsan Samei, PhD, will serve as moderator for Quality Measures in Radiology on December 4 and will deliver the talk “Motivation and Utility of Quality Measures in Radiology,” highlighting the role of performance metrics in improving imaging practice. In the AAPM/RSNA Physics Tutorial “Unrisky Business: Easing the Uncomfortable Relationship Between Risk and Benefit in Medical Imaging” on November 30, Francesco Ria, DMP, will present “Theoretical Approach to Risk/Benefit Assessment,” offering a practical framework for communicating imaging benefits and potential risks with patients and providers.
AI-Driven CT Research: Dose, Reconstruction, and Personalization
Several contributions this year highlight CVIT’s leadership in artificial intelligence and CT imaging:
- Deep-Learning CT Reconstruction:
“Quantification Accuracy, Consistency, and Image Quality in Deep-Learning CT Reconstruction Kernels Optimized for Pulmonary Imaging,” by Fong Chi Ho, and team, will be featured during Physics Tuesday Morning Poster Discussions on December 2. - Prospective CT Dose Estimation:
“Prospective Patient Size and Region-Specific Dose Estimation Through an AI-Based Contour Segmentation of CT Localizers,” led by Aiping Ding, PhD, will be presented in Applications of AI in CT on December 2 in S404. - Patient-Centered Communication:
In the Noninterpretive Skills Poster Discussions on December 3, Francesco Ria, DMP, and Ehsan Samei, PhD, will present “Bridging the Gap Between Evidence and Perception for a Patient-Centered Communication Strategy for Radiology.” - Personalized Organ Dose:
On December 3, Aiping Ding, PhD, will present “Personalized CT Organ Dose Estimation Through an AI-Driven Landmark Detection on CT Localizers” in the Machine Learning for Imaging session in S404.
Driving the Future of Imaging
The breadth of CVIT’s RSNA 2025 contributions—spanning photon-counting CT, breast imaging, deep-learning reconstruction, AI-driven dose estimation, and patient-centered communication—reflects the center’s commitment to advancing imaging science and translating innovation into clinical practice.
CVIT is proud to share this work on the global stage and continues to shape the future of safe, effective, and personalized medical imaging.
