FORUMS

(Friday, July 17, 2026) Dr. Agasthya presented on developing predictive digital twins for radiopharmaceutical therapy by integrating patient-specific physiology, dosimetry, radiation transport, and biological response. This multiscale framework aims to enable prospective prediction of treatment response and personalized therapy optimization.

(June 16, 2026) Dr. Liu’s presentation included a number of developments and applications of deep learning in PET and SPECT image denoising, image reconstruction, motion correction, attenuation correction, and image synthesis. The model training strategy combining human data, large animal data, and simulated data was also discussed.

(May 15, 2026) Dr. Bolch presented mesh-based skeletal models for adults and children derived from micro-CT data and their use in Monte Carlo simulations. He will highlight improved skeletal dosimetry accuracy compared to voxel-based approaches, particularly for pediatric dose assessment and age-dependent internal exposure.

(March 20, 2026) Dr. Tourassi discussed how medical physics stands at the intersection of artificial intelligence, advanced computing, and clinical care. The seminar will explore what the convergence of agentic AI and exascale computing means for the field, and how the Department of Energy’s Genesis Mission may reshape opportunities for medical physicists.

(February 20, 2026) Dr. Abbaszadeh from University of California Santa Cruz discussed 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.