All conference submissions

In medical imaging, the accurate segmentation of lesions is a fundamental step for monitoring tumor progression and extracting quantitative radiomic features for lesion characterization. Traditionally, this task has relied on man...

Annual linac beam scanning QA is time-intensive and often relies on manual data handling, spreadsheet analysis, and site-specific workflows. These steps can be tedious and inconsistent, even when the underlying measurements are s...

To develop and validate a fully automated, anatomy-driven workflow for patient-specific silicone bolus fabrication using the Eclipse Scripting API (ESAPI), and to evaluate geometric and dosimetric accuracy using phantom-based pos...

To evaluate the impact and viability of implementing an automated weekly check tool that tracks daily volume changes of target volumes and organs at risk (OARs) for head and neck treatments, optimizing when to re-scan and re-plan...

To demonstrate and evaluate open-source software for Varian Eclipse TPS to accelerate contouring and planning of breast tangent plans. Eclipse Breast Radiotherapy Auto-planner (Eclipse BRAP) enables production of a quality breast...

CyberKnife radiosurgery provides sub-millimeter targeting accuracy but relies on highly manual planning, often requiring several days and limiting throughput and consistency for time-sensitive cases. Currently, no commercial trea...

High Dose Rate (HDR) brachytherapy requires a rapid turnaround from treatment planning to delivery. Medical physicists perform dose planning and quality assurance (QA) checks prior to treatment, but these tasks are time-consuming...

Spine stereotactic body radiation therapy (SBRT) is an emerging standard of care for patients with symptomatic spinal metastatic disease. The accuracy of target volume delineation is of critical importance for safe and effective...

Aggregating large radiotherapy datasets for predictive modeling is impeded by inconsistent nomenclature. To address this, we developed a fully automated, metadata-independent framework to classify treatment plans into six Anatomi...

To evaluate the efficacy of dynamic lattice structures in Gamma Kinfe (GK) Spatially Fractionated Radiation Therapy (SFRT) and compare their performance against traditional static lattice designs. Plans were assessed using Equiva...

Large, well-annotated databases are necessary for the development of personalized outcomes models. We evaluated the viability of using a Large Language Model (LLM) to extract patient-specific specific toxicity and progression out...

To develop and evaluate a film-based picket fence (PF) test and automated analysis for determining multi-leaf collimator (MLC) position accuracy on the Elekta Unity MR-Linac.

Minor and major errors may occur in both manual and automatic organ contouring process, such as mis-localization or severe under/over-segmentation. They can subsequently impact the accuracy of dose optimization and planning. This...

Accurate planning of pelvic fixation is critical for complex orthopaedic and oncologic surgeries, yet current automated tools focus primarily on normal anatomy and do not account for patient-specific variations caused by tumors....

MRI diffusion tensor imaging (DTI) fiber tracking is a valuable tool for visualizing white matter pathways but is typically time consuming and operator dependent. This work presents the development and validation of an automated...

The increase of prostheses in patients throughout the years has resulted in different strategies to alleviate streaking artifacts in CT scans that obscure nearby anatomy and complicate treatment planning. Manual density overrides...

To introduce a platform for automated comparative analysis of dose calculation algorithms in the Eclipse Treatment Planning System. Native TPS workflows are labor-intensive, manual, and lack the automated metric evaluation needed...

To develop and evaluate an automated approach to intelligently interpret free-text, or natural language (NL), physician treatment directives and generate patient-specific prescriptions and clinical goals within a commercial treat...

Automated stereotactic radiosurgery (SRS) planning often fails to match the high conformity and complex trade-off logic of expert human dosimetrists. We hypothesized that a reasoning-based AI agent, SAGE (Secure Agent for Generat...

To develop a unified and fully automated desktop-based MRI coil QA application designed to minimize operator dependence and enhance workflow efficiency

Deep inspiration breath-hold (DIBH) can reduce cardiac dose in left-sided breast cancer radiotherapy, but its benefit varies substantially between patients. DIBH is also more resource-intensive than free breathing (FB), increasin...

Visual assessment of ultrasound uniformity is subjective and prone to inter-observer variability. This study validates a novel, automated metric combining weighted intensity statistics and texture analysis to provide an objective...

The aim of this study was to assess the feasibility of automated left-sided whole‑breast radiotherapy planning for Halcyon (Siemens Healthineers), and to evaluate plan quality against national clinical guidelines.

Unplanned linac downtime necessitates rapid transfer of VMAT plans to backup machines. Prior methods relying on geometric leaf mapping often fail when transferring between different MLC models or beam profiles. This study validat...