Medical Physics
Pushing boundaries of radiation therapy in cancer by melding physics, engineering, computer science, and cell biology
Our students learn to
innovate radiation therapy for cancer by bringing together synergistic collaborations between informaticians, engineers, and cancer biologists
receive extensive cutting-edge research opportunities that span artificial intelligence (AI) in medicine to functional MRI-guided radiotherapy, & optical imaging to PET instrumentation
are a part of a CAMPEP-accredited nationally recognized program to train the next generation of Medical Physics academic & clinical leaders with strong funding and partnerships
Phantom PET imaging and small animal cardiac and tumor PET imaging
Solving lung motion using different methods: (left) Demons algorithm; (middle) 2D-3D registration; and (right) Biomechanical modeling-guided registration
Integrated PET/CT/RT for preclinical radiation research
Comparison between the gold-standard human radiotherapy plan (top), the predicted plan from a general AI model (middle), and the predicted plan from a dedicated AI model (bottom)
PET imaging for improving proton therapy
Quantitative bioluminescence tomography (QBLT) for pre-clinical radiation research
Uncertainty Estimation: Visualization of the clinical tumor contours (red) and the AI predicted mean tumor contours (blue) with 95% confidence bounds (yellow)