The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy
The images generated during radiation oncology treatments provide a valuable resource to conduct analysis for personalized therapy, outcomes prediction, and treatment margin optimization. Deformable image registration (DIR) is an essential tool in analyzing these images. We are enhancing and examining DIR with the contributions of this paper: 1) implementing and investigating a cloud and graphic processing unit (GPU) accelerated DIR solution and 2) assessing the accuracy and flexibility of that solution on planning computed tomography (CT) with cone-beam CT (CBCT).
System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy
Radiation therapy is planned using CT and delivered using a linear accelerator with cone beam CT (CBCT) to guide patient setup. This is challenging for soft tissue due to low CBCT contrast. Thus, we introduce a cooperatively-controlled robot for ultrasound guidance.