The Intelligent Optimization Engine (IOE) on Varian Ethos has demonstrated efficient Lattice SBRT planning for lung tumors. However, generalizability of IOE performance across diverse anatomical sites and tumor sizes remains unexplored. This study evaluates I...
Author profile
Parag Parikh, MD, BSE
Henry Ford Health
O-Ring Platform Automated Planning for Lattice SBRT across Diverse Anatomical Sites: Strengths and Limitations
Poster Program · Therapy Physics
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