All conference submissions

Computed Tomography Dose Index (CTDI) is widely used for scanner benchmarking, quality assurance, and protocol optimization. Although CTDI methodology is standardized, practical implementation choices may introduce uncertainty. T...

To develop and evaluate a federated learning (FL) framework for brain metastasis (BM) segmentation that integrates an uncertainty score into a novel FL objective, improving segmentation robustness and potentially performance when...

ZAP-X is a self-shielded radiosurgery system featuring a compact gyroscopic gantry design with kV imaging for patient setup and tracking. Its well-engineered treatment table and treatment-planning system allow lesions located inf...

Timely dose verification is essential for quality assurance (QA) in modern radiotherapy (RT), particularly in online adaptive RT, where measurement-based QA is often impractical. Current approaches are limited by machine/energy-s...

To measure the neutron-ambient-dose-equivalent (H*(10)) and assess the fetal dose due to secondary neutrons in a gantry-mounted synchrocyclotron proton therapy system when an intensity modulated proton therapy (IMPT) brain treatm...

Inter-fractional anatomical changes in lung SBRT raise concerns about dosimetric accuracy and potential target under-dosage. Adaptive radiotherapy (ART) is a proposed strategy to correct these variations. This study aims to quant...

Experimentally extract and validate the correction factors, including ionization quenching, to be applied to dose rates measured with a Plastic Scintillation Detector (PSD) for In-Vivo Dosimetry (IVD) in High Dose Rate (HDR) brac...

Conventional dual-energy material decomposition methods suffer from significant noise amplification, which limits their clinical utility for tasks such as intra-fraction markerless tumor tracking. This study introduces PRISM, an...

Dynamic-contrast–enhanced (DCE) MRI enables quantitative assessment of microvascular permeability but is constrained at low field by reduced SNR and ambiguous voxel-wise model selection. This study constructs and evaluates an uns...

To identify and consolidate contemporary dosimetric performance data for Elekta linear accelerators including specialized beams such as flattening-filter free (FFF) beams, which were not included in the original IROC reference do...

Pediatric central nervous system (CNS), peri-cranial, and ocular tumors pose significant challenges for radiation delivery due to complex target geometries, proximity to critical organs at risk, and heightened sensitivity to radi...

Thoracic re-irradiation (reRT) for locally recurrent non-small cell lung cancer is constrained by cumulative dose limits to mediastinal organs at risk (OARs). Proton therapy enables improved dose conformity compared with photon t...

Virtual monoenergetic images (VMIs) generated from dual-energy CT (DECT) offer diagnostic advantages such as enhanced contrast and reduced metal artifacts; however, their role in radiation oncology treatment planning is less esta...

Early prediction of distant metastasis (DM) risk in head and neck cancer (HNC) can enable timely interventions that may improve treatment outcomes. While machine learning approaches using medical imaging have been widely explored...

While real-time tracking devices have demonstrated benefits in clinical outcomes, their safe and effective implementation requires careful consideration. With errors more likely to result from system-wide flaws than isolated fail...

Develop an automated method of detecting heart irradiation in Deep Inspiration Breath Hold (DIBH) breast cancer radiation therapy (RT).

To report our experience of using key performance indices (KPIs) of time-to-treatment initiation (TTI) and on-time chart readiness to improve patient access, quality, and safety of external beam radiotherapy

Many cancer studies concentrate in isolated markers like oxygenation, pH or relaxivity measurements. We believe studying all biomarkers and its interactions as microenvironments is the key. The goal of our study is to build a lib...

Brachytherapy with short-ranged diffusing alpha emitters offers a novel therapeutic modality to treat recurrent glioblastoma in previously irradiated areas. A neurosurgical navigation system traditionally used for biopsies is use...

The purpose of this project was to create and use a moving 3D printed phantom to validate delivered dose to a moving target when using surface guidance based beam gating. Surface guidance systems are widely used to automatically...

To provide guidance regarding the selection of superficial kilovoltage (kV) photon radiotherapy as a treatment option for skin cancer patients, by developing a programme of Monte Carlo dose calculations and 3D-printed verificatio...

To develop and validate a Monte Carlo model of a dual-layer flat-panel detector for image-guided radiotherapy applications; to optimize the design and material composition to improve spectral separation while maintaining clinical...

Markerless lung tumor tracking has the potential to reduce target margins and improve organ-at-risk (OAR) sparing during radiotherapy. We previously proposed a deep learning–based target decomposition approach for real-time marke...

HyperSight CBCT (hCBCT) on Halcyon 4.0 provides image quality comparable to planning CT (pCT), supporting development of an offline adaptive radiotherapy (OART) workflow. This study evaluated the clinical feasibility of implement...