All conference submissions

To propose a multimodal surrogates-guided, multi-task respiratory-modeling framework for simultaneous anatomical motion reconstruction and tumor-tracking.

This project uses a multi-modal method to train a foundational model for medical images of cervical cancer patients. Multiple imaging modalities are used over the course of treatment: multiparametric MRI, CT, cone-beam CT, and PE...

Radiation therapy optimization problems frequently involve multiple competing objectives, requiring multi-objective optimization to navigate trade-offs. This work used a Non-dominated Sorting Genetic Algorithm (NSGA-II) optimizer...

To report on a GUI-driven program “IGOR” (Interplay & Gradient Outcomes in Radiotherapy) which simulates MLC interplay and gradient effects accounting for the tumor’s phase of motion at the start of treatment, and the different t...

Preoperative phenotyping of vessels that encapsulate tumor clusters (VETC) and microvascular invasion (MVI) is clinically important in hepatocellular carcinoma (HCC) diagnosis and treatment. While most studies rely on MRI, CT-bas...

Enhancing dosimetric accuracy, for example by reducing air gaps in bolus or through robust, reproducible, patient-specific immobilization, is a potential application of soft robotics in radiation therapy. This work sought to deve...

To develop a kV-triggered short-arc intrafraction motion monitoring technique for prostate SBRT VMAT by enabling on-treatment reconstruction of a 3D prostate and nearby organs-at-risk (OARs) volume within seconds. We propose an i...

To develop tetrahedral mesh-type phantoms of the female and male beagle dog and perform Monte Carlo (MC) radiation transport simulations to compute specific absorbed fractions (SAFs) for monoenergetic photons, electrons and alpha...

Cervical cancer (CC) remains one of the most common malignancies in women worldwide, and postoperative recurrence continues to challenge long-term survival. Given that clinical decision-making relies on multimodal information, in...

This study aimed to develop and evaluate a multi-scale dose-defined lung subregional dosiomics approach for predicting radiation pneumonitis (RP) in lung cancer patients treated with conventionally fractionated VMAT.

Heterotopic flank xenografts are widely used for preclinical head and neck cancer (HNC), despite hypothesized microenvironmental differences relative to orthotopic tumors. Tumor hypoxia is a major determinant of radiation respons...

Personalized oncology requires bridging the gap between macro-scale imaging and micro-scale cellular architecture. We developed a radiopathomic fusion framework to integrate PET/CT metabolic heterogeneity with graph-based topolog...

MRI–only radiotherapy planning requires accurate synthetic CT (sCT) generation to enable dose calculation and patient positioning without a planning CT in Linac-based treatment delivery settings. While prior studies have demonstr...

In carbon ion radiotherapy (CIRT), treatment-day position verification is typically performed using two-dimensional (2D) X-ray images acquired at non-orthogonal angles. While effective for bone-based alignment, this approach prov...

Prior authorization (PA) processes aim to promote utilization management and guideline adherence; however, national survey data from the American Society for Radiation Oncology (ASTRO) demonstrate negative impacts on radiation on...

Patient-specific quality assurance (PSQA) for volumetric modulated arc therapy (VMAT) is essential for verifying plan deliverability, while it remains resource-intensive and inefficient. We developed a multi-task deep learning fr...

The Imaging and Radiation Oncology Core (IROC) IMRT head and neck (HN) phantom continues to show unacceptable delivery rates at ~10%. Increased understanding of what drives performance on this audit would assist in targeted impro...

Stereotactic arrhythmia radiotherapy (STAR) is a promising noninvasive treatment for cardiac arrhythmias. Traditional motion expansion PTVs are well-suited to oncology but little is known about their use for STAR. We propose and...

Creation of country/region-specific certification curricula that meet regional needs. Once established, experienced Medical Physicists in low-middle income countries (LMICs) are formally assessed against this standard to achieve...

Functional connectivity (FC) derived from functional magnetic resonance imaging (fMRI) is a key marker of brain health and cognitive function. Most analyses rely on the blood-oxygen-level-dependent (BOLD) signal; however, BOLD re...

Accelerator-based boron neutron capture therapy (BNCT) system employing a solid-state lithium target has been implemented into clinical practices. However, due to the degradation of the Li target over its lifetime, periodic repla...

The incorrect patient placed on the radiotherapy couch for treatment is rare, but the consequences are potentially devastating. We developed an artificial intelligence assistance tool intended to support therapists at the treatme...

To develop and evaluate a custom convolutional neural network (CNN) using baseline 68Ga-DOTATATE PET/CT imaging to predict disease control following 177Lu-DOTATATE therapy in patients with neuroendocrine tumors (NETs).

Configuring clinical linear accelerators (LINACs) for ultra-high dose rate (UHDR) electron experiments typically requires invasive hardware modification or manufacturer intervention, limiting accessibility. We developed an indepe...