Author profile
Emory University
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...
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...
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...
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...
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).
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...
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...
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...
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 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...
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...
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...
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...
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...
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,...
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...
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...
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...
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
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...
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...
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...