All conference submissions

Dose prediction models operate in the CT dose domain and require a conventional optimization step to translate the predicted dose into deliverable parameters in beam’s-eye view (BEV). To address the taxing direct aperture optimiz...

The clinical translation of liposome-based chemotherapy is limited by heterogeneous drug accumulation and the barriers of the tumor microenvironment (TME). While doxorubicin loaded into nanocarriers exploits the EPR effect, its t...

Following radiopharmaceutical administration, absorbed doses can be estimated by coupling radionuclide S values with cumulated activity. For alpha-emitting radiopharmaceuticals, S values should be established at a microscale leve...

Lesion tracking establishes correspondence across imaging time points to assess disease evolution and treatment response. Despite registration-, graph-, and AI-based methods across CT, MR, PET, and PET/MR, robust correspondence i...

Precise knowledge of high-energy photon spectra from clinical linear accelerators (linacs) is important for dosimetry in radiotherapy. High-energy photon spectra cannot be measured directly, so alternative methods are required. I...

To determine optimal scan and reconstruction parameters of a novel dual-energy CT (DECT) scanner for radiotherapy treatment planning across different patient scenarios.

To demonstrate a novel "Split-Brain" Multi-Agent Large Language Model framework for autonomous inverse planning in radiation oncology.

To investigate the response of a plastic scintillator dosimeter in quantifying depth-dose distributions and beam spot characteristics in a clinical proton therapy setting, using both Monte Carlo modeling and experimental comparis...

Accurate dose measurement in ultra-high dose rate (UHDR) electron beams is essential for clinical quality assurance. Plastic scintillation detectors (PSDs) are promising candidates for UHDR dosimetry but must demonstrate radiatio...

To evaluate the CT number stability of advanced cone-beam CT (CBCT) detectors installed on C-arm linacs, across detectors and time, and assess the CBCT-based dose calculation accuracy.

Decoder large language models (LLMs) like ChatGPT and Claude show excellent text understanding in general domains but remain under-aligned to oncology-specific clinical context. This study aims to design and validate an alignment...

Most radiotherapy procedures follow standardized protocols to ensure quality. However, treatment planning and optimization still remain insufficiently standardized. This study evaluates the potential of incorporating plan complex...

Accurate estimation of lifetime dose accumulation in patients undergoing re-irradiation therapy is essential for assessing long-term toxicity risks and evaluating the effectiveness of multiple radiotherapy (RT) courses. Currently...

Gamma Knife (GK) stereotactic radiosurgery (SRS) and fractionated SRS (fSRS) planning require high-fidelity MRI for accurate target delineation with minimal planning margins. This work evaluates MRI image quality across diagnosti...

Deep learning (DL) is increasingly used to reduce acquisition times, increase signal-to-noise ratio (SNR) and spatial resolution in magnetic resonance imaging (MRI). However, the impact on SNR and resolution is not measured in a...

Respiratory motion increases setup uncertainty in thoracic and abdominal tumor radiotherapy and elevates radiation exposure to organs at risk (OARs), such as the heart and lungs. Deep inspiration breath-hold (DIBH) can effectivel...

Lung stereotactic body radiotherapy (SBRT) is now standard of care for oligometastatic and small pulmonary lesions, where very small radiation fields are used. Although inhomogeneity correction algorithms have been well validated...

The goal of this project was to investigate whether the FLASH effect can be preserved when an ultra-high-dose-rate (UHDR) delivery is split into multiple beams (2, 4 or 6), all delivered within a time window (5 sec) that was prev...

To explore critical unanswered questions in the radiosurgical management of patients with ≥25 cumulative brain metastases (BMs), specifically: (1) whether dose-volume thresholds to uninvolved brain exist beyond which neurotoxicit...

Stopping-power ratio (SPR) is used in proton therapy to calculate the radiation dose distributions. SPR depends on tissue composition and can be calculated using multi-energy CT. This study compares the accuracy of SPR calculated...

The novel treatment delivery technique RapidArc Dynamic (RAD), which combines dynamic gantry motion with static angle–modulated ports (STAMPs), offers strong potential for advanced planning and improved plan quality. However, a m...

With improvements in patient outcomes, re-irradiation is increasingly pursued and is becoming a common occurrence in the clinic. Safe planning requires accurate characterization of cumulative organ-at-risk (OAR) exposure across t...

To quantify volumetric reliability limits of a vendor brain metastasis auto contouring prototype trained only on 1.5T and 3T MRI when deployed on 0.55T MRI.

To estimate surface dose on a Varian TrueBeam linear accelerator using PDD extrapolation with microDiamond and microSilicon detectors, and to assess detector-dependent differences as a function of field size.