Author profile
Henry Ford Health
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...
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...
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...
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...
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,...
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...
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...