MR-only radiotherapy (RT) planning faces workflow challenges that limits its use in routine practice. Currently, clinics rely on manual contouring and/or deep learning based automatic segmentation (DLAS) trained using clinical-specific MRI sequences. The form...
Author profile
Rhonda Geoffrey
Department of Radiation Oncology, Medical College of Wisconsin
Multi-Anatomy Geometric Accuracy Study for MRI Based Deep Learning Segmentation In MR-Only Radiotherapy Planning
Poster Program · Therapy Physics
Assessing the Dosimetric Accuracy and Time Savings of MR-Based Deep Learning Auto-Segmentation Implemented In a Gynecological High Dose Rate (HDR) Brachytherapy Clinical Setting
Gynecological high dose rate (HDR) brachytherapy patients receiving treatment for cervical cancers are under anesthesia during planning and treatment. Minimizing planning time without compromising safety and effectiveness would improve patient care, improve p...
Poster Program · Therapy Physics
A Study of Online Adaptive Planning Workflow for Pancreatic Cancer Using Adapt LTE
This study aimed to evaluate Adapt LTE, a retrospective evaluation tool by Accuray to compare past helical treatment plans against original therapy goals.
Poster Program · Therapy Physics