All conference submissions

Theranostic digital twins (TDTs) are virtual representations of individual patients, that integrate clinical patient history, imaging, and physiologically based pharmacokinetic (PBPK) modeling to simulate radiopharmaceutical ther...

To retrospectively identify potential x-ray anode overheating events and to prospectively design protocols and policies to mitigate heat-related risks that can lead to tube downtime and workflow disruption.

This study aims to evaluate the effective RBE of recoiled nuclei and their contribution to equivalent dose estimation in Alpha DaRT, whose radiobiological impact remains poorly characterized.

Low-dose radiation therapy (LDRT) is used in Europe for painful osteoarthritis (OA) and other inflammatory musculoskeletal conditions; however, U.S. adoption is limited in part by a lack of practical, reproducible simulation and...

To characterize the three-dimensional (3D) isocenter behavior of the Halcyon linear accelerator as a function of off-axis distance and multileaf collimator (MLC) layer, and to evaluate the need for spatially resolved isocenter me...

To optimize a Fricke xylenol orange (FXO) gel formulation for high-sensitivity readout using optical computed tomography (optical CT) and magnetic resonance imaging (MRI), and to quantitatively demonstrate that MRI-based readout...

Monthly TG-142 dosimetry quality assurance (QA) remains labor-intensive, creating workflow burden in high-throughput clinical environments. Although ion chamber arrays are widely available, their use for comprehensive TG-142 mont...

Accurate quantitative magnetic resonance spectroscopy (MRS) is essential for metabolic imaging, yet conventional Fourier-based analysis fails when spectra exhibit extreme dynamic range, as commonly encountered in hyperpolarized 1...

HDR cervical brachytherapy requires continuous anesthesia and coordinated execution across multiple clinical teams, yet most workflows are described only by procedural sequence rather than temporal behavior. This study aims (1) t...

To quantify how SAR-constrained saturation design, Dixon water–fat separation, and distortion/motion correction affect quantitative abdominal APT/CEST using a time-efficient (seg-)EPI acquisition, and to define a robust operating...

To evaluate the dosimetric performance and surface conformality of a commercially available brass mesh bolus (BMB) compared with 3 mm Superflab (SF) in clinically realistic scenarios where air gaps are expected, such as in patien...

Vacuum cradles/bags (VC) combined with head and leg immobilization are commonly used for prostate stereotactic body radiotherapy (SBRT) treatment setup. Removing the VC may offer practical advantages for efficient patient positio...

Development of a deep learning model for accurate preoperative identification of glioblastoma and solitary brain metastases by combining multi-centre and multi-sequence magnetic resonance images and comparison of the performance...

To determine the diagnostic performance of a machine learning model based on radiographic features of fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) / computed tomography (CT) in distinguishing cervic...

Cherenkov imaging has emerged as a promising technique for real-time dosimetry during external beam radiation therapy (EBRT); however, quantitative conversion of Cherenkov signal to delivered radiation dose remains challenging. T...

Accurate segmentation of the left anterior descending (LAD) coronary artery is essential for cardiac sparing in thoracic radiotherapy, particularly for lung cancer patients receiving high-dose radiation near the heart. However, t...

Prostate cancer male reproductive system malignancy and the most common male cancer treated by radiation. Given the high incidence rate and complexities of treatment planning, artificial intelligence (AI) solutions in medical phy...

This study aims to develop and evaluate a framework to generate fully automated prostate HDR brachytherapy plans using predicted dose from deep learning model, reducing planner dependence and planning time.

To evaluate the feasibility of online adaptive radiotherapy using Ethos Emulator 2.0 for pediatric abdominal neuroblastoma, aiming to maintain target coverage while reducing dose to organs at risk (OARs) and potentially enabling...

This work demonstrated the feasibility of performing in-water dose calculations with Monte Carlo (MC) simulations of the Vektra Electronic Brachytherapy (EB) system (Empyrean, Boca Raton, FL). The Vektra is a novel method of EB,...

Hypersight (Varian Medical Systems, Palo Alto, CA) captures clearer images than traditional on-board treatment imaging. The improved image quality and Hounsfield Unit accuracy supports adaptive radiotherapy workflows by enabling...

Stopping-power ratio (SPR) uncertainty in proton therapy is typically estimated from computed tomography (CT) scans of adult-sized phantoms and applied to adult and pediatric patients. Adult uncertainties may not represent pediat...

The modulation transfer function (MTF) is a standard metric for quantifying the spatial resolution of radiographic imaging detectors. Measurement of the MTF can be achieved through the Noise Response (NR) method, which utilizes o...

Our current clinical practice relies on using a chest wall contour as a surrogate for rib contours, as contouring individual ribs is prohibitive due to time constraints. This process introduces uncertainty to the validity of frac...