Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
Department of Radiation Oncology, Medical College of Wisconsin
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Single fraction palliative radiotherapy is resource intensive, often requiring several hours to prepare and multiple table transfers per patient. Helical tomotherapy systems can acquire large field-of-view ClearRT kVCT images suitable for treatment planning....
MR-only radiotherapy (RT) planning faces workflow challenges that limits its use in routine practice. Currently, clinics rely on manual contouring and/or deep learning based automatic segmentation (DLAS) trained using clinical-specific MRI sequences. The form...
Urgent clinical electron radiotherapy for postoperative treatments (e.g., keloid) is often performed without CT-based planning. In a large hospital network with multiple treatment locations, variability in electron data and workflows across treatment machines...
Accurate precise planning and delivery of linac-based stereotactic radiosurgery (SRS) can be technically challenging and stressful. Thus, it is important to develop a streamlined clinical workflow to increase efficiency, accuracy and precision of the treatment
The Elekta Comprehensive Motion Management (CMM) system enables real-time monitoring of tumor motion with high temporal resolution and accuracy. Using histogram analysis of tumor positional oscillations, we propose a patient-specific gating strategy to maximi...
This study aimed to evaluate Adapt LTE, a retrospective evaluation tool by Accuray to compare past helical treatment plans against original therapy goals.
High-dose-rate interstitial brachytherapy (IB) is an effective treatment for gynecologic (GYN) malignancies but requires precise catheter placement, which can be challenging during transperineal and free-hand insertions. Augmented reality (AR) driven MR-guide...
Dose-volume constraints for organs at risk (OARs) in stereotactic body radiation therapy (SBRT) for thoracic cancer patients have been well established through multiple prospective clinical trials. However, during equivalent dose in 2 Gy fractions (EQD2) summ...
Universal CT number to mass density (CTN-to-MD) curves in large hospital networks with multiple CT simulators and treatment planning systems reduces the potential for error during photon treatment planning. The goal of this study was to evaluate the effects o...
Synthetic CT (sCT) derived from CBCT images show potential to facilitate online adaptive radiotherapy (oART) by enhancing CBCT image quality. Compared to sCT from a 2D deep-learning (DL) model that can result in through-plane streak artifacts, we evaluate a 2...
Pulmonary fluid changes often necessitate treatment replanning; however, associated mass variations compromise deformable dose accumulation (DDA) and complicate its evaluation. Accurate estimation of cumulative dose and its associated uncertainty is therefore...
Proton pencil beam scanning (PBS) spot profiles are traditionally modeled using orthogonal X and Y profiles. In-air measurements may exhibit asymmetry and rotation. This study evaluates whether rotation-aware elliptical spot characterization produces meaningf...
This study aims to compare plan quality between helical photon and IMPT proton delivery platforms across multiple disease sites to evaluate whether helical plans could provide an effective and rapid backup to proton therapy.
In clinics operating multiple helical delivery systems, treatment plan transfer between machines is frequently desired to improve scheduling flexibility. Despite beam matching, vendor guidance commonly recommends repeating full patient-specific IMRT QA after...
Daily cone-beam CT (CBCT) is widely used in adaptive proton therapy; however, scatter artifacts can degrade image quality and introduce proton dose calculation inaccuracies. We developed a region-of-interest (ROI)–guided Swin-Transformer deep learning (DL) ne...
We previously reported feasibility of RayStation for Unity MR-Linac planning with various advantages. However, the lack of automated objective-weight optimization can limit the effectiveness of daily planning with large anatomical changes. This work investiga...
Dose mapping is particularly challenging in reirradiation patients after neoadjuvant radiotherapy and surgery as a result of substantial anatomical rearrangement, often limiting clinical practice to point-summation approaches that lack spatial localization. W...