All conference submissions

Peer review is a core component of quality assurance in radiation oncology. This study evaluated whether physician years of clinical experience were associated with differences in peer review change rates within a standardized, p...

This work aims to develop a physics-aware deep learning framework for radiotherapy dose prediction that improves accuracy and clinical efficiency. The proposed Physics-Aware Multimodal UNet (PhysMM-UNet) integrates CT images, flu...

To evaluate the reproducibility and electron density sensitivity of CT radiomics features across spectral image types and deep learning reconstruction levels using a tissue-equivalent phantom.

Diffusion-weighted MRI (dMRI) is promising for estimating tumor microenvironment characteristics from measured signals that encode the microscopic diffusion of water molecules constrained by cellular architecture. Estimation accu...

High-dimensional genomic and clinical tabular data lack spatial structure, limiting the effectiveness and interpretability of modern deep learning. In medical physics, raw measurements are routinely transformed into structured ph...

This work addresses the problem that, even after MRI motion correction (MOCO), images can still have reduced SNR and residual motion artifacts from undersampled gaps. The proposed solution integrates a pretrained 2D U-Net denoisi...

To assess how low-pitch spiral 4DCT impacts image quality, particularly noise, artifacts, and slice sensitivity profile (SSP), to help overcome the limitations of this technique.

Lung stereotactic body radiation therapy (SBRT) delivers high doses with tight margins and is often associated with excessive modulation characterized by irregular apertures, high number of monitor units (MU), and significant mul...

With the recent introduction of clinical MR-Linac devices, there is an increased need for dose measurement techniques unaffected by magnetic fields. Polarized Cherenkov imaging is a luminescence-based dosimetry method potentially...

Prostate SBRT demands high geometric precision due to large fractional doses and steep dose gradients. Conventional PTV margins are typically derived from population-level estimates and may not reflect individual patient-specific...

Accurately modeling how organs move is essential in modern medical imaging and radiotherapy. Tasks such as deformable image registration (DIR), dose accumulation, motion tracking, and treatment adaptation all depend on reliable r...

Patient pose variations during radiotherapy can degrade setup accuracy and compromise treatment safety. Existing monitoring approaches often suffer from limited real-time capability and complex system configurations. To address t...

Present interim dosimetry analysis from a prospective, multi-center study (NCT05953337) comparing the mean absorbed dose (Dmean) derived from nuclear medicine (NM) and CT imaging of liver cancer patients undergoing yttrium-90-rad...

To develop a method for verifying real-time adaptation treatment log data generated by the Accuray Radixact Synchrony system, for post-treatment quality assurance as recommended by the AAPM TG264 report.

This study aims to quantitatively evaluate intrafraction target motion through post-treatment analysis based on offset-dependent three-dimensional reconstruction of on-treatment kV images.

VMAT based cerebrospinal irradiation (CSI) using photons has emerged as a palliative treatment approach for patients suffering from metastatic leptomeningeal disease. In this work we describe the experience introducing VMAT CSI i...

Access to nuclear medicine services provides significant benefit to regional patients but is often limited by the availability of staff with specialist expertise. This can result in gaps between existing practice and contemporary...

CT-guided adaptive radiotherapy (CTgART) introduces substantial workflow complexity and resource demands. While clinical experience is expected to improve efficiency, the magnitude and structure of adaptive learning have not been...

Low grade diffuse gliomas are slow-growing tumors that must be monitored longitudinally to detect progression to more aggressive higher-grade disease. However, the slow growth of these tumors can make it difficult for radiologist...

The next-generation PET-based SCINTIX® Biology-guided radiotherapy (BgRT) X2 platform incorporates a four-time PET widened field of view (WFOV) and an anchor-point-tracking delivery algorithm (currently in development). These adv...

Deep-inspiration breath-hold radiotherapy (DIBH) is widely used in left-sided breast cancer radiotherapy to reduce heart dose, but the dosimetric benefit varies among patients. Assessing DIBH eligibility typically requires additi...

CT-guided online adaptive radiotherapy(CTgART) introduces substantial per-patient variability in session duration, complicating prospective scheduling. This study evaluates whether system-reported reference plan calculation metri...

As pancreatic cancer treatments are trending toward ablative regimes, accounting for the motion of organs-at-risk is crucial due to potential toxicities. MR-guided online adaptative radiotherapy is effective at mitigating organ m...

Adaptive replanning in head and neck (H&N) radiotherapy can be resource-intensive and can also disrupt clinical workflow. We developed and validated a machine learning model that combines dosiomics and clinical features to predic...