Predicting Gastrointestinal Organ Motion for SBRT Treatments of Pancreatic Cancer Using a Generative Deep Learning Model
As pancreatic cancer treatments are trending toward ablative regimes, accounting for the motion of organs-at-risk is crucial due to potential toxicities. MR-guided online adaptative radiotherapy is effective at mitigating organ motion, however, the availabili...
Poster Program · Therapy Physics
Disentangling Patient-Specific Canonical Anatomy and Deformation Manifolds for Improved MRI-Guided Adaptive Radiotherapy Segmentation
Accurate organ-at-risk segmentation remains a critical bottleneck in MR-guided adaptive radiotherapy, consuming 20–40 minutes per fraction. Current methods treat each fraction independently, discarding patient-specific information from prior sessions. We deve...
Proffered Program · Diagnostic and Interventional Radiology Physics