Jean M. Moran, PhD

To address the labor-intensive nature of Deformable Image Registration (DIR) QA quantitatively through the use of independent software and in-house scripting for lung and Head & Neck (H&N) sites for clinical use.

We investigate the feasibility of using daily setup free-breathing cone-beam CT (CBCT) as a functional imaging modality to generate longitudinal ventilation maps throughout the treatment course, with the goal of detecting emerging lung function impairment dur...

Automation in external beam radiotherapy chart checks improves standardization, efficiency, and error reduction. Our academic institution, consisting of approximately 200 users over 7 campuses, partnered with a vendor to integrate institution-developed automa...

To improve the effectiveness and efficiency of radiotherapy clinical workflows, we developed and deployed three vendor-specific Event-Driven Framework (EDF) automation applications that reduce manual intervention and enhance communications among therapists, p...

Current AAPM guidelines (TG-104 and MPPG 2.b) primarily address kV or standard MV portal beams for imaging and are not well suited for low-dose-rate 2.5 MV imaging beams, particularly in establishing dose and image quality baselines. This study developed and...

An improved imager and software (HyperSight on a Varian TrueBeam linac) feature a larger detector panel and increase the maximum gantry rotation speed for CBCT imaging to 1.5 revolutions per minute (rpm). While enabling faster acquisition, its impact on free-...

A growing number of patients with increasingly many brain metastases (BMs) are being treated with stereotactic radiosurgery. Artificial intelligence-assisted gross tumor volumes (AIGTVs) can aid the radiation oncologist in contouring the gross tumor volumes (...

Inferior CBCT quality from artifacts or incomplete data can compromise anatomy visualization during Image-Guided Radiotherapy (IGRT), increasing uncertainty in target localization and organ-at-risk positioning. Improving CBCT reconstruction can enable more re...

To develop a kV-triggered short-arc intrafraction motion monitoring technique for prostate SBRT VMAT by enabling on-treatment reconstruction of a 3D prostate and nearby organs-at-risk (OARs) volume within seconds. We propose an iterative short-arc CBCT recons...

To assess how low-pitch spiral 4DCT impacts image quality, particularly noise, artifacts, and slice sensitivity profile (SSP), to help overcome the limitations of this technique.

Electronic portal imaging devices (EPID) are widely used clinically for patient-specific quality assurance (QA). Anticipating potential failures can help prioritize measurements to assess the need for plan revision and avoid downstream workflow disruptions. W...

This study proposes a transformer-based deep learning framework for markerless lung tumor tracking that improves localization accuracy, robustness, and computational efficiency of real-time intrafraction motion management for seamless clinical integration.

Markerless lung tumor tracking has the potential to reduce target margins and improve organ-at-risk (OAR) sparing during radiotherapy. We previously proposed a deep learning–based target decomposition approach for real-time markerless lung tumor tracking. Thi...

Despite extensive research on automated treatment planning, manual trial-and-error optimization remains common in clinical practice. Knowledge-based and AI-driven approaches show promise but often lack robustness to evolving clinical protocols due to the need...

In respiratory gating radiotherapy (RG-RT), pretreatment imaging—particularly gated cone-beam CT (gCBCT)—is essential but operationally inefficient. Current gCBCT on C-arm linear accelerator is time-consuming (2–8 minutes) and often requires re-scans when gat...

Nonstop gated CBCT (ngCBCT) was developed to overcome the limitations of current gated CBCT (gCBCT), enabling 2-8x faster acquisitions and 2.5-3.5x lower imaging dose. However, ngCBCT produces highly non-uniform and under-sampled projection data that challeng...

Therapy Physics