All conference submissions

This study aims to develop the first 4pi dynamic proton arc optimization algorithm which searches for efficient arc trajectories in 4pi space, explores the potential dosimetric improvements in multiple disease sites. Then we demo...

Clinical notes in oncology are generally free-text documents that often repeat clinical information copied from elsewhere in the patient’s medical record, creating inefficiency and risk of propagation error. Therefore, the primar...

Multi-plane target tracking in 0.35 T MR-guided radiotherapy (MRgRT) is beginning to emerge in clinical practice. To support safe implementation, robust and repeatable quality assurance (QA) procedures are needed. This study prop...

Ultra-high dose rate (FLASH) irradiation has demonstrated the potential to spare normal tissue while maintaining tumor control, yet its underlying mechanisms remain unclear, particularly for low-energy X-rays where radiation qual...

To develop and characterize a 3D-bioprinted non-small cell lung cancer (NSCLC) model as a reproducible and physiologically relevant platform for pre-clinical radiotherapy studies, with initial assessment of cell growth, spatial d...

Photon-counting detector (PCD)–based cone-beam CT (CBCT) is gaining increasing interest for its potential to enable high-resolution and spectrally rich imaging. This study develops a tabletop PCD-CBCT system as a research platfor...

To investigate the potential impact of dose rate, beam energy, and temporal structure on the FLASH effect, an irradiation platform providing widely tunable dose rate and energy range is desirable. This work aims to develop and ch...

This study seeks to establish a protocol for intracavitary HDR brachytherapy treatment in a murine cervical cancer model mimicking patient treatment procedure. This procedure includes the use of large-bore simulation CT imaging a...

To develop a streamlined and automated quantum-inspired optimization framework using mixed-integer quadratic programming (MIQP).

General-purpose large language models (LLMs) often exhibit limitations in specialized fields like radiotherapy, including insufficient expertise, outdated knowledge, and a tendency to generate hallucinations. To address these iss...

To develop and evaluate an in-house .NET/C# Eclipse Scripting API (ESAPI) solution with a dynamic universal graphical user interface (UGUI) to automate optimization-structure creation across disease sites and reduce treatment pla...

Dosimetric quality assurance (QA) is essential for treatment validation on the MR-linac. However, many conventional QA approaches are challenging in the presence of a magnetic field. In this study a plastic scintillator multi-poi...

High beam delivery accuracy is essential for reliable IMRT delivery and efficient QA. This study aimed to develop a deep learning-based automatic planning system to improve delivery accuracy using predicted fluence maps and to ev...

To design and test a three-dimensional detector for proton radiography and CT imaging using a volumetric plastic scintillator irradiated with therapeutic high energy proton beams.

To develop and validate a cost-effective 3D printed phantom for off-axis dosimetry using ion chambers

To explore the feasibility of applying large language models (LLMs) for radiotherapy plan(RTP) evaluation to assist radiotherapy plan quality control and clinical decision making.

To describe the development and validation of in-house automatic planning for VMAT partial breast irradiation (PBI) in either 1 or 5 fractions.

To develop a reliable batch‑calibration method and dose‑reading protocol for in-vivo scintillation imaging dosimetry during radiation therapy.

To develop a 3D dose reconstruction algorithm capable of generating volumetric dose distributions measured with large plastic scintillation detectors irradiated with photon, electron, and proton beams used in radiation therapy.

To develop a broadband echo planar imaging (EPI) for hyperpolarized C-13 imaging on a Siemens Prisma 3T MRI scanner for cross-vendor performance harmonization

To develop a novel CEST-based MRI technique at 3T for robust Z-spectrum imaging enabling quantitative pH sensitivity in a brain tissue-like phantom.

To develop a decision support tool for optimizing the configuration of the static angle modulated ports (STAMPs), including the number of ports, gantry angles and collimator angles, using an Eclipse Scripting API (ESAPI) for Rapi...

When positioning patients for head and neck radiation therapy procedures, it can be difficult to position the patient without knowledge of the limits of motion due to physiological constraints caused by the neck vertebrae. This w...

Spectral photon-counting CT (SPCCT) counts individual X-ray photons and separates them into different energy windows, producing energy-resolved images from a single scan. However, commercial SPCCT systems offer limited flexibilit...