All conference submissions

Radiation therapy patient scheduling is highly complex due to stringent clinical and operational constraints, such as treatment continuity over a multi-fraction course, time for first fraction, etc. Current scheduling practice is...

Routine CT quality assurance (QA) relies on visual inspection, where subtle non-uniformities can be difficult to identify consistently across scanners and readers. We developed an efficient, interpretable artificial intelligence-...

For thoracic cancers, respiratory-induced tumor motion must be accounted for to ensure accurate treatment. While real-time tumor tracking represents the ideal in motion management, existing commercial options face significant hur...

To develop an automated framework that determines the number and placement of isocenters and target margins for extracranial stereotactic ablative radiotherapy (SABR) in polymetastatic disease, and evaluate lung dose tradeoffs ve...

A custom optimization engine was developed to determine the optimal collimator and couch angles for single-isocenter, multi-lesion LINAC-based stereotactic radiosurgery (SRS). Herein, we demonstrate technical feasibility of the t...

Radiotherapy treatment plan optimization depends on planner experience and a trial-and-error process. Supervised deep learning can improve efficiency, but when trained on historical clinical plans, its performance is limited by t...

To improve the effectiveness and efficiency of radiotherapy clinical workflows, we developed and deployed three vendor-specific Event-Driven Framework (EDF) automation applications that reduce manual intervention and enhance comm...

To develop and validate a 3D deep learning autosegmentation model for prostate and OAR contouring on post-brachytherapy-catheter CT images for HDR prostate brachytherapy planning.

Automated chart-check tools have been shown to reduce errors and improve efficiency in radiation therapy plan reviews. However, existing solutions are typically limited to single-vendor systems. This study describes the developme...

Automated radiotherapy treatment planning pipelines can reduce planning time and improve standardization, but clinical adoption is often limited by the time and specialized automation expertise required to define, configure, and...

Patient coaching on the Elekta Unity MR-Linac is challenged by an enclosed bore that limits direct observation and by high acoustic noise during MR imaging that can reduce comprehension of verbal commands. We developed a synchron...

Colorectal cancer (CRC) ranks as the third most diagnosed malignancy in the world. This study aims to investigate an automated, visually interpretable framework for intelligent identification and localization of the primary CRC i...

Cyberattacks pose a growing threat to the continuity of radiation therapy services. Establishing contingency plans (CPs) is critical for rapid recovery post-cyberattack and for maintaining operational resilience. However, the ext...

To develop a WEb-Accessible comprehensiVE (WEAVE) platform, that combines AI-driven segmentation with a user-friendly interface to automatically segment Vestibular Schwannomas (VS) and track longitudinal volumes for disease asses...

The Varian GYN ring applicator exhibits known dwell position dependence on source wire behavior and rotational orientation. For the Bravos HDR afterloader, the vendor recommends repeated periodic verification of ring dwell positi...

Medical Physics Consult (MPC) writeups are required documentation for patient safety, regulatory compliance, and clinical communication. Our institution has used Quick Parts in Microsoft Word to create MPCs, which requires manual...

To develop and clinically implement a reproducible workflow for designing, manufacturing, and commissioning patient-specific 3D-printed applicators for high-dose-rate (HDR) brachytherapy of complex cutaneous malignancies.

Chemical shift artifacts from fat in echo planar sequences are difficult to suppress in artificial spin labeling (ASL) imaging without negatively impacting the label signal. The goal of this work is to suppress these artifacts by...

Although most patients with Hodgkin lymphoma (HL) are cured with chemotherapy with or without immunotherapy, a subset fails to respond to first-line therapy. Baseline clinical factors alone do not reliably identify nonresponders....

In current clinical practice, RT parameters such as total dose and dose per fraction are not limited to but primarily determined by the TNM stage and histology of the tumor. In this standardized treatment approach, interpatient t...

Current AAPM guidelines (TG-104 and MPPG 2.b) primarily address kV or standard MV portal beams for imaging and are not well suited for low-dose-rate 2.5 MV imaging beams, particularly in establishing dose and image quality baseli...

X‑ray dark‑field imaging is sensitive to unresolved microstructure and has strong potential for lung tissue characterization, disease identification, and virtual histology. However, quantitative dark-field CT remains challenging...

The accessibility of proton therapy is limited by the size and cost associated with traditional acceleration techniques. The dielectric wall accelerator (DWA) was proposed as a low-cost, compact proton accelerator capable of gene...

To assess the dosimetric accuracy of radiotherapy treatments mainly in Belgium through a program of external dosimetry audits, evaluating the commissioning and clinical implementation of photon and electron beam models in treatme...