Dalhousie University

To assess the performance impact of transfer-learning and layer freezing training methods on a generative adversarial network (GAN)-based CT infilling technique.

Plan deliverability robustness was explored by identifying and gating motion-sensitive control point sequences in single-target cranial VMAT plans. A dose-informed, control-point-specific motion tolerance was tested for its performance in mitigating coverage...

Therapy Physics

The new generation of cone-beam CT (CBCT) systems, such as HyperSight (Varian Medical Systems), provide CT-like image quality with improved HU accuracy. Dual-energy Cone beam CT (DE-CBCT)–based virtual non-contrast (VNC) imaging avoids additional non-contrast...

Planners must often choose how to cluster multiple SRS/SRT targets without reliable a priori dosimetric prediction, making exhaustive plan-and-optimize testing impractical in complex cases. A previously developed target-clustering metric (M) was designed as a...

This study investigates the performance of silicon semiconductor detectors in combination with a plastic scintillation detector (PSD) for measuring photon beam doses under clinically relevant conditions.

To explore utilization of a generalized planning template to enable reference-free direct-to-unit treatment for prostate cancer.

When cervical cancer patients with a hip prosthesis undergo standard-CBCT imaging, metal artifacts are present in the image due to the prosthesis high-Z material, leading to potential uncertainty in setup or contouring/dose calculation in oART. With the intro...

To assess the high-dose performance of organic thin-film transistors (OTFTs) for radiotherapy applications and to identify material-level effects impacting detector response.

This work evaluates Varian’s HyperSight CBCT system installed on the Ethos radiotherapy platform using head-and-neck (H&N) patient cases to characterize the image quality and dose-calculation accuracy in the presence of metal-induced artifacts for CBCT-based...

Previously, we showed equivalent success in predicting multiple sclerosis (MS) white matter lesion evolution over two years using separate 3D U-Nets based on either baseline conventional MRI (cMRI) or quantitative MRI (qMRI). Here, we investigated 3D U-Net mo...

To develop and evaluate patient-specific, deep learning-based autocontouring models that incorporate planning and prior fraction images/contours for improved contouring of the prostate, bladder, and rectum in prostate adaptive radiotherapy (ART).

Artificial intelligence (AI) is increasingly embedded across radiation medicine, with applications in clinical decision support, workflow efficiency, personalization of care, and quality assurance. Despite rapid technical advancement, there remains a critical...

To evaluate the Size Specific Dose Estimate (SSDE) based on the AAPM report TG-293 for pediatric head CT, and to propose local diagnostic reference levels (LDRLs) in the Canadian province of Nova Scotia.

The basal thumb joint is a common site of osteoarthritis (OA) in the hand. Joint inflammation and changes in blood flow regulation are associated with disease progression; however, there is a limited understanding of synovial blood flow changes and the impact...

Dual-energy CT (DECT) enables material differentiation and artifact reduction that can improve image quality for radiation therapy treatment planning. Combining DECT with Ethos HyperSight CBCT, which incorporates automatic scatter correction, has the potentia...

Over the past two decades Radiation Therapy has become increasingly reliant on complex software systems, locally developed scripts and spreadsheets. Recent advances in AI technology suggest that this reliance will only increase in the future. While software e...