All conference submissions

This study characterized inter-machine variations in physical leaf gaps and associated MLC parameters, including dosimetric leaf gap (DLG) and leaf gap (LG). We provide practical guidance for robust Enhanced Leaf Model (ELM) impl...

Independent verification of IROC phantom credentialing results is valuable for institutional quality assurance and confidence in treatment planning system performance. This work aimed to verify the accuracy of a commercially avai...

Recent discontinuation of OSLDs prompted the adoption of MOSFETs as an alternative for in-vivo dose verification for patients with cardiac implantable electronic devices (CIEDs). We characterized MOSFET response across clinically...

To evaluate a MR-CT deformable registration workflow using a novel 3D-printed anthropomorphic phantom that enables controlled, known lumbar spine deformation, with assessment of geometric accuracy and quantitative integrity of MR...

Biodosimetry (BD) correlates biological damage from radiation exposure to absorbed dose, providing an accurate method of dose assessment that accounts for individual biological factors. The goal of this project is to modify an ex...

Online adaptive radiotherapy (oART) mitigates interfraction motion and enables potential reduction of planning target volume (PTV) margins relative to standard-of-care approaches. This study evaluates the robustness of 2 mm PTV m...

To validate the model-based dose calculation algorithm (MBDCA) ACE against Monte Carlo (MC) for contact brachytherapy of the skin with the Freiburg flap applicator and lead shields.

Accurate Hounsfield Unit (HU) to density calibration curves are essential for reliable dose calculations in adaptive radiotherapy. This study quantifies variations in HU-mass density and HU-electron density relationships across i...

To retrofit a 2009-era Clinac DHX bunker at Square Cancer Centre, Dhaka, for Varian TrueBeam V3 (10 MV-FFF) without structural demolition, enabling SRS/SBRT capabilities while establishing a replicable model for similar upgrades.

To verify a simplified analysis of imaging and radiation coordinate agreement across multiple geometric scenarios with thresholds that proportionally consider all independent sources of error.

While the biological impacts of ionizing radiation are well-documented, its effects on the viscous and elastic (rheological) properties of the gel remain under-explored. This study addresses this gap by investigating how high dos...

18F-fluorodeoxygluose positron emission tomography (18F-FDG-PET) is clinically useful in cervical cancer care and has been shown to reduce interobserver variation of the residual gross tumour volume in brachytherapy. Chemical exc...

VMAT optimization is a non-convex problem with tightly coupled parameters and machine constraints, which limits the development of transparent and extensible frameworks outside commercial treatment planning systems. This work int...

To investigate the time dependent distribution of gold nanoparticles released from a loaded brachytherapy spacer and the impact on the concomitant dose distribution in Iodine-125 low dose rate brachytherapy treatment.

Volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) is a high-dimensional problem traditionally reliant on computationally expensive inverse planning. While machine learning techniques have been developed...

During radiotherapy, anatomical changes may impact the suitability of the initial treatment plan, necessitating the application of adaptive radiation therapy (ART). The MVCT serves as the patient positioning image, enabling dose...

Radiotherapy is one of the primary treatment modalities for cervical cancer, and accurate ROI delineation is crucial. Previous studies have predominantly utilized feature reproducibility to construct patient prognosis models, wit...

Fast and reliable optimization remains a major bottleneck in automated and adaptive radiotherapy treatment planning. Most commercial and research planning systems rely on gradient-based optimization methods, which can converge sl...

Radiotherapy planning requires frequent interaction with complex clinical software, creating inefficiency and opportunities for error. Current automation pipelines depend on scripting, large datasets, or vendor-specific APIs. Her...

We investigated optimal geometric parameters for spatially fractionated radiotherapy (SFRT) through in-vitro experiments.

To evaluate temporal and site-specific patterns in phantom-based patient-specific quality assurance (PSQA) performance and estimate failure-capture efficiency using a hypothetical gamma passing rate (GPR) threshold of 90%), a ret...

MRI-based intrafraction motion management is increasingly used during MR-guided adaptive radiotherapy, yet limited data exist on its real-world performance and limitations across disease sites. This study reports institutional ex...

Oncology information system (OIS) and Treatment planning system (TPS) upgrades are high-impact events that require comprehensive validation. Knowing what to prepare, who to involve, and what to test on go-live day is critical for...

Clinical medical software is often deployed through streamed environments such as Citrix, where conventional automation methods fail due to the lack of native operating system controls and application programming interfaces. This...