Emory University

To apply a proton procedure of optimizing spot weight and Ridge Filter (RF) to single-energy carbon pencil beam and evaluate it in a water phantom with a square-shape target in the center (prescription dose 50 Gy).

To develop an optimization procedure of spot weight and ridge filter (RF) dimension for single-energy proton pencil beam and apply it to a water phantom with a square-shape target in the center (prescription dose 50 Gy).

This study quantifies how two inverse optimization-based planning parameters: dwell time deviation constraint (DTDC) and active step size (AS) affect target coverage, dose heterogeneity, and organ‑at‑risk (OAR) doses in prostate high dose rate (HDR) brachythe...

This study reports on a comprehensive MRI-only intracavitary brachytherapy (MR-ICB) commissioning framework with quantitative isodose-based validation against CT.

Accurate auto-contouring is essential for efficient prostate radiotherapy, particularly in image-guided and adaptive workflows, where contour quality influences clinical decision-making. This study quantitatively evaluates Radformation auto-contouring perform...

Therapy Physics

Organ‑level breast dosimetry is essential for developing robust dose-response models of subsequent breast cancer (SBC) risk in female childhood cancer survivors. Historically, epidemiologic studies relied on surrogate metrics such as prescription dose due to...

TH- External Beam- Electrons

Surface-guided radiotherapy (SGRT) has changed how we position and watch patients—by giving the team a live, camera-based view of the body’s surface without extra markers or tattoos. This exploratory session looks at what’s next: using that same surface infor...

Education is a core professional responsibility for medical physicists, yet most receive limited formal training in pedagogy or instructional design. Recognizing this gap, the American Association of Physicists in Medicine (AAPM) established the Community of...

Micro-ultrasound (microUS) provides high-resolution visualization of the prostate for interventional procedures; however, the scarcity of annotated datasets limits the development of robust automated segmentation methods. This study leverages a foundation-mod...

Radiotherapy treatment planning is a resource-intensive process characterized by multiple manual steps that can contribute to treatment delays and inter-observer variability. The Radiation Planning Assistant (RPA) is a web-based platform designed to deliver a...

Dose sparing of cardiac substructures has the potential to improve thoracic radiotherapy outcomes beyond conventional whole-heart dose-volume metrics. However, manual delineation of numerous substructures is prohibitive, limiting the availability of high-qual...

Therapy Physics

Artificial Intelligence (AI) has undergone transformative advancements, revolutionizing medical imaging and radiation therapy with unprecedented precision and efficiency. Breakthroughs in agentic AI, foundation models, and interpretable AI have significantly...

Multiparametric brain MRI is essential for delineating pediatric brain tumor subregions; however, long acquisition times often preclude complete multi-contrast imaging in pediatric patients, and large public pediatric lesion datasets remain limited. We propos...

To systematically assess whether commonly proposed architectural enhancements provide measurable benefits for deep learning-based radiotherapy dose prediction, using controlled comparisons of 3D U-Net variants to support evidence-based model selection and est...

Foundation models (FMs) have demonstrated strong performance on challenging radiation therapy tasks such as automatic delineation, deformable image registration, and multimodal visual question answering (VQA). However, they are typically task-specific and req...

While image translation models like CycleGANs are increasingly used in medical imaging tasks, evaluating their training behavior remains challenging. Current practices often rely on batch-wise loss curves or selected visual outputs, both of which can be noisy...

This study aims to illuminate how HyperSight CBCT compares to conventional CBCT and planning CT in terms of radiomic features, applying statistical methods such as the Kruskal-Wallis H Test and the Intra-Class Correlation Coefficient (ICC).

Cone-beam CT (CBCT) is integral to modern radiotherapy workflows; however, limited soft-tissue contrast and imaging artifacts restrict its quantitative use, particularly for online auto-segmentation in CBCT-guided adaptive radiotherapy. Models pretrained on c...

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 demonstrate its feasibility throug...

Proton prostate SBRT is characterized by steep dose gradients and elevated linear energy transfer (LET) near the end of range, which may contribute to genitourinary (GU) toxicity. Prior work suggests that bladder neck (trigone) dose is a stronger predictor of...

Adaptive radiotherapy (ART) for head and neck (HN) cancer helps maintain target coverage and spare organs-at-risk (OARs) despite anatomical changes like weight loss. For clinics without online ART, early identification of patients needing replanning is essent...

Evaluate our radiosurgical experience with trigeminal neuralgia treatment, with emphasis on short‑term pain relief and the influence of biologically effective dose (BED).

To evaluate image quality in neonatal brain CT using a custom phantom designed to replicate clinically relevant skull and soft tissue attenuation, enabling assessment of contrast-to-noise ratio (CNR) for improved diagnostic confidence in pediatric neuroimagin...

Pin-ridge filters (pRFs) have emerged as a promising hardware-based approach for ultrafast proton beam delivery through upstream proton fluence modulation. While pRF-based planning techniques having been explored computationally, experimental implementation h...

Proton LATTICE radiotherapy (LRT), a spatially fractionated radiotherapy (SFRT), delivers high dose to intratumoral vertices while maintaining low valley dose. Single-field optimization (SFO) is robust in preserving peak-to-valley patterns but may increase en...

High-resolution CT is important for radiotherapy contouring and dose calculation. However, acquiring high through-plane resolution is often constrained by radiation dose, motion artifacts, and scanner limitations. This study aims to generate high-resolution (...

Radiomics-enabled adaptive radiotherapy depends on on-treatment imaging that maintains CT-like quantitative biomarkers. We evaluated whether HyperSight CBCT preserves planning-CT radiomic biomarkers more faithfully than conventional CBCT in pelvic radiotherap...

To optimize a simulation imaging protocol for MR-only treatment planning (MRTP) of high-dose rate (HDR) brachytherapy (BT) in patients diagnosed with prostate cancer.

Eclipse v18 introduces an enhanced leaf model (ELM) for multileaf collimator (MLC) configuration. The model requires dosimetric measurements acquired with MLC-shaped fields and is therefore sensitive to leaf condition. Although leaf cleaning is commonly recom...

To test whether HyperSight CBCT (HS-CBCT) improves consistency of longitudinal radiomics with planning CT versus conventional CBCT in pelvic radiotherapy.

Radiation-induced lymphopenia (RIL) is a prevalent and clinically significant toxicity in lung cancer radiotherapy. Circulating lymphocyte exposure is inherently time-dependent due to blood flow through irradiated volumes during beam delivery. Intensity-modul...

Ultra-high-dose-rate (UHDR) proton irradiation may spare normal tissue (FLASH effect), but PBS proton dose rate is limited by machine constraints (minimum MU/spot and dwell time). Intra-field interruptions can leave sub-threshold MU for remaining delivery, de...

Stereotactic Body Radiation Therapy (SBRT) has gained attention for the treatment of patients with refractory ventricular tachycardia (VT). VT substrates are complex, multifocal, progressive, and may require urgent treatment. As a result, plan quality can var...

Traditionally, shielding design in PET facility relies on manually interpolating semi-logarithmic transmission curves from NCRP 147 and AAPM TG 108. This process is time-consuming and varies depending on the user. This study introduces a new, fully automated...

This work assesses a multimodal Large Language Model (MedGemma) for generating planning objectives in standard fractionation (60Gy/30fx) lung cancer radiotherapy. Unlike static vendors' templates, the proposed system dynamically provides objectives based on p...

Post-mastectomy chest-wall (CW) irradiation is well suited for proton FLASH due to the predominance of normal tissue within the target and the feasibility of single-energy tangential transmission beam (TB) delivery. This study investigates optimization strate...

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, fluence maps, organ masks, and mu...

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 well quantified using objecti...

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 metrics, specifically reference pla...

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 predict which patients are likely to...

Ultrasound-guided high-dose-rate (UGHDR) brachytherapy for prostate cancer depends on real-time transrectal ultrasound (TRUS) imaging for catheter guidance. However, the limited ability of TRUS to depict critical bony anatomy, such as the pubic arch, poses ch...

With the number of proton centers increasing, each facing intermittent downtime or need for renovations. Developing optimal approaches to maintain uninterrupted treatment is essential to preserve clinical outcomes. This study outlines key risk factors, workfl...

Overlapping tracks complicate particle classification and are unavoidable in pixelated semiconductor detectors due to their random nature. This study introduces a Hybrid Particle Track (HPT) net and a Simultaneous Track Energy And Length (STEAL) extension of...

Low-dose radiation therapy (LDRT) is used in Europe for painful osteoarthritis (OA) and other inflammatory musculoskeletal conditions; however, U.S. adoption is limited in part by a lack of practical, reproducible simulation and planning guidance. We develope...

Deformable image registration (DIR) in medical imaging remains inherently ill-conditioned due to structural ambiguities and weak anatomical constraints. Although foundation models (FMs) have shown strong promise for unsupervised DIR, existing approaches typic...

Clinical medical software is often deployed through streamed environments such as Citrix, where conventional automation methods fail due to the lack of native operating system controls and application programming interfaces. This work presents a visual-langua...

Therapy Physics

Therapy Physics

Iodine maps derived from Dual-Energy CT (DECT) provide critical biological information for radiotherapy treatment planning; however, conventional clinical iodine maps often mistakenly include bones due to insufficient X-ray spectral separation. In this study,...

Accurate real-time tumor tracking is critical for MRI-guided radiotherapy, where geometric uncertainty can significantly increase dose to surrounding critical organs. Continuous cine-MRI enables motion-adaptive treatment. However, accurate tracking under larg...

Ultra-fast imaging and delivery are rapidly transforming particle therapy, opening new directions for both FLASH and non-FLASH high-dose-rate treatments. This symposium aims to update the community on the accelerating progress in ultra-fast beam delivery, adv...

Therapy Physics

Therapy Physics

Therapy Physics

Online adaptive proton therapy is highly sensitive to interfractional anatomical variation, yet conventional online replanning workflows remain time‑intensive and limit routine clinical implementation, particularly for hypofractionated prostate stereotactic b...

Low-count PET acquisition and inter-radiotracer translation offer effective strategies to reduce radiation dose and mitigate tracer availability constraints. Recent self-supervised learning (SSL) foundation models (e.g., DINOv3) have demonstrated strong abili...

Professional

To quantify the dosimetric consequences of physiology-composed abdominal motion on pancreatic cancer SBRT.

Advancements in spectral CT imaging, particularly photon-counting CT (PCCT), have markedly enhanced diagnostic capabilities by exploiting the spectral properties of X-ray interactions. This technology delivers improved soft tissue contrast, superior material...

Accurate delineation of glioma substructures on multi-parametric MRI (mp-MRI) is critical for diagnosis, radiotherapy planning, and treatment response assessment. However, manual annotation of tumor subregions is labor-intensive and subject to inter-observer...

Cone-Beam CT (CBCT) is central to image-guided radiotherapy (IGRT), but conventional CBCT is limited in their ability to capture respiratory-induced tumor motion, resolve soft-tissue contrast, and account for anatomical changes during treatment. These limitat...

Therapy Physics

Prostate MRI is increasingly used in modern radiotherapy, but compared with CT, large-scale MRI datasets remain limited for fine-tuning foundation models. This study investigates the cross-modality transferability of a CT–fine-tuned foundation model to prosta...

Therapy Physics

Existing deep learning-based dose prediction methods primarily learn empirical mappings between anatomy and dose, without modeling beam delivery physics. This gap may limit their robustness and accuracy, especially in heterogeneous regions where dose depositi...

Professional

The rapid emergence of foundation AI models, large-scale pre-trained architectures such as vision transformers, diffusion models, and multimodal encoders, has ushered in a transformative era in medical image analysis. Leveraging massive natural and/or medical...

This session will present three of the most recently published or approved for publication Task Group or Scientific Reports under the Therapy Physics Committee. These report have not been presented before to the membership. These documents have already been r...

In this work, we experimentally commissioned proton spatially-fractionated-radiotherapy (pSFRT) clinical treatments on a compact proton synchrocyclotron. This involved an initial assessment of proton small-field dosimetry calculation accuracies with comprehen...

Upright patient positioning is transitioning rapidly from concept to clinic in both photon and proton therapy, supported by compact treatment systems, innovative immobilization devices, and the development of upright imaging platforms. Early studies highlight...

Therapy Physics

Gamma Knife (GK) radiosurgery is a specialized radiosurgery for brain metastases (BMs). GK plan quality depends strongly on target size and shape, making conventional plan metrics difficult to compare across patients. Dosimetric quality is also coupled with b...

CAMPEP standards require residency programs to train residents on soft skills, such as professionalism, ethics, etc. Recently a nationwide survey of CAMPEP residencies was performed to investigate how programs are incorporating this type of training into thei...

Radiation oncology is undergoing a transformative shift with the emergence of novel modalities that challenge traditional paradigms of dose delivery and biological response. This symposium will explore three cutting-edge approaches—Spatially Fractionated Radi...