Virginia Commonwealth University

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.

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.

We developed an efficient mathematical representation of achievable Pareto optimal OAR dose sparing objectives for lung cancer RT planning. We further incorporated these preferences in a RT planning model for individualized RT dose prediction tailored to pati...

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...

Clinical implementation of proton arc therapy is partly hindered by the low speed of beam energy switching upstream of the nozzle. To achieve fast and multiple post-nozzle energies, we propose a novel range shifter, termed the Checkerboard Range Shifter (CRS)...

Accurate delineation of Head and Neck (H&N) Gross Tumor Volumes (GTV) is a prerequisite for effective radiotherapy, represents a significant cognitive challenge, and may contribute to an observed outcomes deficit between high-volume and low-volume H&N radioth...

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...

Stereotactic Body Radiation Therapy (SBRT) of the lung can cause large deformations which make accurate dose accumulation for retreatment challenging. This study investigates the effect of different deformable image registration (DIR) methods on dose error.

Commercial model-based dose calculation algorithms (MBDCAs) show promise for advancing intensity-modulated brachytherapy (IMBT). However, transitioning from the TG‑43 protocol to MBDCAs requires benchmark studies against reference dosimetry. This work introdu...

The study aims to develop a parameterized brachytherapy source geometry modeling framework for GPU-based Monte Carlo particle transport simulation with an integrated DICOM workflow.

To develop and clinically deploy an open-source treatment plan review tool, PANORAMA, integrated with the treatment planning system (TPS) and oncology electronic medical record (EMR) to improve efficiency and standardization of external beam plan review in a...

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.

This session is a joint session from the journal editorial leadership of Medical Physics and JACMP, touching on the evolving vision of both journals and exploring the growing interplay between artificial intelligence, physics principles, and the future of sci...

Professional

Professional

Directional Modulated Brachytherapy (DMBT) tandems using tungsten shielding have demonstrated improved dose conformity versus conventional tandem-and-ring (T&R) applicators. In prior work, DMBT six-groove tandem with a standard ring reduced D2cc to rectum, bl...

The purpose of this study is to improve the performance of diffusion-based neural networks by conditioning using representations from pre-trained models. Conditioning with a 3D encoder enforces volumetric consistency across slice-wise 2D predictions, while co...