FORUMS
Educating and training scientists on how the Center’s resources can aid their research
Forums are currently conducted in person and on Zoom. Please get in touch with our administrative manager to request an invite.
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Upcoming Forums
Imaging Advantage of Edge-On CZT Platform and its Application in Molecular Imaging
Dr. Abbaszadeh will discuss edge-on CZT detectors, their high sensitivity and precise localization for gamma imaging, and how advanced coincidence detection improves event positioning and background rejection. She will also highlight the potential of this technology for future PET and PET–gamma systems.
Past Forums
Photon-counting CT in Abdominal Imaging: Hype or Actual Utility?
(April 18, 2025) Dr. Benjamin Wildman-Tobriner from Duke University discusses current research in photon-counting CT (PCCT) in abdominal imaging and highlights areas where virtual trials in PCCT might be useful moving forward.CT-based Body Composition: The Sky is the Limit
(March 21, 2025) Dr. Kirti Magudia from Duke University demonstrates how CT-based body composition analysis techniques using deep learning provide quantification of skeletal muscle, visceral fat, and subcutaneous fat, which have been correlated with overall survival, cancer-related outcomes, and cardiovascular events, among other clinical outcomes.Equitable AI for Children’s Health and Rare Diseases
(January 17, 2025) Dr. Marius George Linguraru from the Children’s National Hospital gives an overview on how artificial intelligence may be the greatest tool we have for improving the quality of and access to medical care for children, especially those most vulnerable to health inequities.Coronary Artery Calcium Detection from Dual-Energy Radiography
(November 15, 2024) Adam Wang from Stanford University gives an overview on how coronary artery calcification (CAC) is a key indicator of cardiovascular risk and is currently measured using cardiac CT.Machine Learning Algorithms for In-Silico Virtual Imaging
(October 18, 2024 )Dr. Tarokh from Duke University gives an overview on how rapid acceleration in medical imaging technologies has increased the complexity of evaluating and optimizing new imaging technologies through clinical imaging trials due to associated expenses, time requirements, difficulty accruing subjects, ethical limitations, etc.
