To develop and evaluate an automated, log-file–based MLC positional accuracy QA method for routine and longitudinal assessment of MLC performance on the ViewRay MRIdian MR-Linac system.
Author profile
Alexander FI Osman, MS
Virginia Commonwealth University
Intrafraction motion management is essential to reduce setup uncertainty and prevent dose delivery errors during radiotherapy, particularly for tumors influenced by respiratory motion near the diaphragm. Magnetic resonance guided radiotherapy enables real-tim...
To develop and evaluate a log-file–based PSQA method for the ViewRay MRIdian MR-Linac that incorporates actual machine delivery information to improve the robustness of adaptive treatment plan verification.
Magnetic resonance imaging (MRI) offers superior soft tissue contrast without ionizing radiation, but computed tomography is necessary for electron density information in radiation therapy treatment planning. This study evaluated the feasibility and generaliz...
This work focuses on implementing a GPU-accelerated multi-criteria optimization (MCO) framework for HDR brachytherapy, including advanced applicators such as Direction-Modulated Brachytherapy (DMBT), and developing a graphical user interface (GUI) to enable c...
This study aims to develop and evaluate a framework to generate fully automated prostate HDR brachytherapy plans using predicted dose from deep learning model, reducing planner dependence and planning time.