Institution profile
Rank #23 · 33 unique linked submissions.
People
Post-therapy quantitative imaging is essential for dosimetry-guided precision cancer treatment in theranostics. Although SPECT is the typical choice for post-therapy quantification, its routine clinical use is constrained by scanner availability, acquisition...
Patients who undergo stereotactic body radiation therapy (SBRT) for lung cancer can present with contraindications, making it difficult to achieve tumoricidal coverage and adequate organs-at-risk (OAR) sparing. MRI guided-adaptive radiotherapy (MRg-ART) has p...
To evaluate agreement between LLMs and expert reviewers in triaging radiation oncology incident learning system (ILS) forms with regard to three clinically relevant dimensions (workflow process step, severity, and dosimetric impact), with the goal of improvin...
The Intelligent Optimization Engine (IOE) on Varian Ethos has demonstrated efficient Lattice SBRT planning for lung tumors. However, generalizability of IOE performance across diverse anatomical sites and tumor sizes remains unexplored. This study evaluates I...
Professional
Direct-to-treatment (DTT) streamlines simulation, planning, QA and treatment into same-day, risk-managed pathways that start from diagnostic imaging or treatment-unit imaging. Clinical and physics evidence now supports multiple entry points: diagnostic-CT bas...
Therapy Physics
Dynamic contrast-enhanced (DCE)-MRI is widely used to assess vascular perfusion and permeability; however, conventional time-domain pharmacokinetic models often conflate flow- and leakage-driven transport. This study introduces a Laplace-domain framework to q...
To establish an automated framework for MRI protocol management and clinical examination monitoring that enables scalable and queryable protocol representation, automated exam-to-protocol classification, real-time examination performance analysis.
In comparison to treating a single lesion at isocenter, the use of SIMT to treat multiple lesions is more sensitive to rotational errors, which can affect the delivered dose distribution. The aim of this study is to retrospectively assess the robustness of SI...
Automated stereotactic radiosurgery (SRS) planning often fails to match the high conformity and complex trade-off logic of expert human dosimetrists. We hypothesized that a reasoning-based AI agent, SAGE (Secure Agent for Generative dose Expertise), could gen...
It is mandatory for staff involved in fluoroscopy to wear dosimeter badges to track their radiation dose. However, staff compliance can be inconsistent and challenging to monitor. We investigated the correlation between the dose area product (DAP) of interven...
Commercial availability of low-field (0.55 T), wide-bore (80 cm) MRI systems offer unique opportunities for treatment planning and response assessment in radiation oncology, especially when coupled with deep learning (DL) reconstruction algorithms. Understand...
Current automated offline triggers for adaptive radiotherapy often function as black boxes and fail to provide the reasoning behind a decision. Vision Language Models (VLM) offer a novel solution by providing a clear path toward explainability regarding the d...
The 0.55T MRI offers potential advantages including reduced susceptibility artifacts and improved accessibility. Separately, HyperSight cone-beam CT on the Ethos enables direct dose calculation during adaptive radiotherapy. This study evaluates the feasibilit...
To share our initial clinical experience using the Siemens MAGNETOM Free.Max low field strength (0.55T) scanner for gynecological brachytherapy, including establishing sequences, assessing geometric distortion for a titanium tandem and ring (T&R) applicator,...
As pancreatic cancer treatments are trending toward ablative regimes, accounting for the motion of organs-at-risk is crucial due to potential toxicities. MR-guided online adaptative radiotherapy is effective at mitigating organ motion, however, the availabili...
Radiotherapy planning is time-intensive, iterative, and operator dependent. AI automates planning but is not transparent, and cloud-based models threaten privacy. We developed and evaluated SAGE (Secure Agent for Generative dose Expertise), a locally hosted,...
HyperSight cone-beam CT (CBCT) has been validated for direct treatment planning without needing conventional CT simulation. We propose a simulation-free whole-brain radiotherapy (WBRT) workflow using the Ethos online adaptive platform that requires no prior d...
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.
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 unsupervised probabilistic-nested...
AI-based medical image segmentation has achieved strong performance across diverse tasks, yet progress remains constrained by ground truth availability. Interventional fluoroscopic angiography, a 2D modality with complex vascular anatomy, is underrepresented...
Therapy Physics
Therapy Physics
Accurate organ-at-risk segmentation remains a critical bottleneck in MR-guided adaptive radiotherapy, consuming 20–40 minutes per fraction. Current methods treat each fraction independently, discarding patient-specific information from prior sessions. We deve...
Clinical innovation is essential for advancing radiation therapy and is often led by clinically medical physicists. As the clinical and academic landscape evolves, establishing a research portfolio presents challenges and new opportunities for medical physici...
Though digital breast tomosynthesis has been standard of care for over 15 years, the image acquisition parameters, especially the acquisition angles, encompass a wide range of variations. A question that warrants further investigation is the image quality tra...
Therapy Physics
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...
To evaluate the presence and severity of electromagnetic interference (EMI) artifacts from left ventricular assist devices (LVADs) in mammography.
Professional
Radiopharmaceuticals, Theranostics, and Nuclear Medicine