All conference submissions

Our research group developed a four-dimensional (4D) dose distribution verification system consisting of a cylindrical plastic scintillator (PS) and multiple semiconductor detector array. In this study, agreement between measured...

Shielding design for medical linear accelerator (LINAC) vaults is commonly performed using spreadsheet-based implementations of NCRP Report No. 151. While effective, these approaches are limited by fixed calculation points and re...

To develop a unified machine learning model which can predict the dose distribution for any disease site treated with VMAT. The model uses minimal inputs (CT dataset and structure contours) to rapidly output a clinically acceptab...

Cherenkov imaging is a technique used to observe surface dose deposition during radiation therapy. While proportional to dose, the imaged signal cannot derive absolute dose, due to the attenuation and inhomogeneity of human tissu...

Occupational radiation exposure to operators during interventional fluoroscopic procedures remains a significant concern. Conventional personal dosimetry provides limited spatial and organ-specific dose information and does not a...

Cherenkov imaging enables real-time visualization of radiation delivery by capturing Cherenkov emission from patient tissue at the beam location. Although this signal can be compared to the expected dose distribution, no establis...

In this study, a novel composite nanoplatform, BSA-THPC@99mTc, was engineered by encapsulating the sonosensitizer meso-tetra (hydroxyphenyl) chlorin (THPC) into bovine serum albumin (BSA) nanoparticles, followed by radiolabeling...

To design and validate a Monte Carlo electronic portal imaging device (EPID) model to reduce the uncertainty in the calibration of EPIDs for in-vivo dosimetry of external beam treatments by consolidating correction factors into a...

Manual segmentation of immunohistochemical (IHC) stained images is a time-consuming task that typically takes 1-2 workdays to segment all images needed for analysis. Deep learning-based methods were employed to create an AI model...

In online adaptive radiation therapy (oART), a new treatment plan is generated using three-dimensional images acquired before irradiation. However, no metric exists for evaluating the extent of day-to-day plan changes. This study...

To develop and implement an automated quality assurance application for radiation therapy treatment plan verification following AAPM TG-275 guidelines, enabling comprehensive comparison between Elekta Monaco treatment planning sy...

The overarching goal is to develop a novel system for microdosimetry integrated with cellular molecular radiation response using Monte Carlo (MC) simulations, Raman spectroscopy (RS), and radiobiological assays. MC simulations of...

Accurate voxel-wise RBE modeling for carbon ion radiation therapy (CIRT), such as the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF-MKM), is computationally prohibitive for time-constrained clinical workflows. Monte Carl...

Accurate voxel-wise RBE modeling for carbon ion radiation therapy (CIRT), such as the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF-MKM), is computationally prohibitive for time-constrained clinical workflows. Monte Carl...

The development and assessment of an end-to-end quality assurance (QA) procedure for Ethos online adaptive radiotherapy (oART), integrating high-resolution detector-based dose verification with interchangeable anthropomorphic pha...

Deviceless 4DCT (D4D) reconstruction relies on changes to patient anatomy, such as lung volume or external contour to generate a pseudo respiratory trace which is used to bin 4DCTs for use in radiotherapy planning. This poses a c...

Modern brachytherapy afterloaders have a capacity of up to 50 channels for complex high dose rate (HDR) treatments. For interstitial treatments, needles must be accurately matched to the correct channel on the afterloader, else t...

To develop an open-source universal software for benchmarking signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in annual fluoroscopy evaluations. This method provides an objective and reproducible measure of image qu...

Magnetic resonance (MR) imaging is increasingly used for image guidance in interstitial gynecological brachytherapy due to its superior soft-tissue contrast; however, accurate reconstruction of implanted plastic needles remains c...

Simulation-omitted prostate SBRT (SO-PRO) has potential to reduce treatment delays and expand access to care but presents unique challenges for SBRT workflows that require careful management of target and organ-at-risk (OAR) dose...

DeepTuning is a deep learning–based dose prediction framework that generates multiple dose distributions with different trade-offs, analogous to multi-criteria optimization. Leveraging historical cases with varying trade-offs, De...

Palliative radiotherapy patients may present emergently and often have recent diagnostic CT (dCT) imaging suitable for treatment planning. Requiring an additional CT simulation can delay treatment and adds burden to patients for...

Severe radiation-induced lymphopenia (SRIL) is a detrimental prognostic factor in lung cancer. This study aimed to develop and validate normal tissue complication probability (NTCP) models for SRIL based on hematologic dose in pa...

Commercial availability of low-field (0.55 T), wide-bore (80 cm) MRI systems offer unique opportunities for treatment planning and response assessment in radiation oncology, especially when coupled with deep learning (DL) reconst...