All conference submissions

GammaTile cesium-131 collagen tiles provide immediate postoperative radiation therapy for brain tumors by lining the resection cavity, delivering a steep dose fall-off to target residual disease while sparing healthy tissue. Howe...

Propagation-based X-ray phase contrast computed tomography (PB-XPCT) reconstructs the complex index of refraction whose real part, responsible for the phase shifting of x-rays, is known to differ more among soft tissues than the...

To develop and evaluate an end-to-end testing procedure for catheter-based prostate HDR treatments using in-house fabricated 16 mm EBT4 radiochromic film, refining a previously described OSLD-based methodology.

Adaptive radiotherapy (ART) enables daily plan adjustment to account for anatomical changes. Given the high doses and tight margins in prostate SBRT, this study quantifies intrafractional prostate motion and its implications in t...

Predicting tumor radiosensitivity remains a major challenge in precision radiotherapy due to incomplete concordance between transcriptomic alterations and functional protein expression. This study aims to develop an integrated tr...

To enhance spatial resolution in all three dimensions (x, y, z) of coronary CT angiography (cCTA) acquired with conventional energy-integrating detector (EID)-based CT systems, using a protocol-aware multi-slice deep learning mod...

Traditionally, CT scanner spatial resolution is characterized using non-clinically optimized scan modes (axial scans, with dose levels and kernels not suited for real patients). In this study, we demonstrate a clinically motivate...

Ultra-high dose rate (FLASH) proton therapy generates positron-emitting radioisotopes, including C-11, O-15, and F-18, which decay via β⁺ emission. Each annihilation produces a pair of 511 keV photons naturally entangled in momen...

Computational nuclear oncology (CNO) methods are advancing rapidly but often developed in isolated tools and workflows that are difficult to reproduce, compare, and share. This fragmentation limits virtual studies and slows trans...

Routine and pre-treatment clinical irradiator quality assurance (QA) is vital for ensuring safe, accurate, and reproducible patient care. A primary factor limiting statistical significance in preclinical research is the lack of r...

Transitioning Linac QA from time based testing to data-driven quality management is hindered by the high technical barrier of developing custom clinical tools. This work demonstrates "vibe coding” as a viable solution, leveraging...

To evaluate whether deep learning models trained on a small number of high-quality plans (e.g., ≤30) can predict dose distributions of comparable quality, and whether the predicted quality improvements are achievable.

To assess the feasibility of distributing the workload of manufacturing 3-dimensional (3D) printed Winston-Lutz (W-L) phantoms for donation purposes across multiple locations and a variety of printers

Daily anatomical changes can invalidate the geometric, dosimetric, and biological assumptions of reference treatment plans. Quantitative evidence describing fraction-level deviations across disease sites remains limited, and adap...

To determine an equivalent copper (Cu) thickness that reproduces the Automatic Exposure Control (AEC) technique of fluoroscopy units relative to two reference phantoms: a standard size patient equivalent Lucite phantom (regulator...

Many Artificial intelligence (AI) applications have been developed recently to improve the quality and efficiency of radiotherapy processes. Despite the success of image-based applications such as autocontouring, AI models traine...

Neural networks have recently been demonstrated that convert single-energy CT images into dual-energy CT images. It seems at first that this “dual-energy conversion” is only possible using image priors: one might assert that if a...

To quantify lesion CNR in simulated digital mammography using the VICTRE pipeline and assess the effects of lesion size, lesion density, breast density, imaging energy, scatter, and ROI methodology.

To quantify changes in the lung volume due to irradiation.

Early assessment of radiotherapy response is essential for adaptive treatment planning and digital-twin development. Longitudinal quantification of tumor volume and mass changes depends on reliable deformable image registration (...

Head and neck squamous cell carcinoma (HNSCC) is a clinically aggressive malignancy with heterogeneous responses to chemoradiation, driven in part by dynamic immune remodeling. While immune infiltration has been studied at differ...

Murine models of head and neck squamous cell carcinoma (HNSCC) are routinely monitored using external caliper measurements to estimate tumor volume, most often relying on simplified geometric assumptions such as cylindrical appro...

To evaluate the accuracy and physical fidelity of deep learning–based energy-domain translation in simulated mammography using the VICTRE virtual clinical trial framework, with emphasis on image quality and lesion preservation.

While phantom studies demonstrate high spatial accuracy for Surface-Guided Radiation Therapy (SGRT) systems, validation with live human subjects is critical. Non-rigid facial motion and the lack of a concurrent motion reference s...