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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Rank #96 · 10 unique linked submissions.
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Auto-contouring (AC) of the pelvic nodal Clinical Target Volume (CTV) for prostate cancer radiation therapy can reduce contouring time and inter-physician variability. A vendor tool provides two AC models based on different contouring guidelines, which have n...
Jaw-tracking is a standard feature for IMRT and VMAT on TrueBeam accelerators, but its application in 3D-conformal radiotherapy (3D-CRT) is less common. Benefits may exist when utilizing electronic compensation. This study evaluates the dosimetric impact, del...
This study details the formal acceptance testing and clinical validation of the Elekta/Nucletron Geneva gynecological HDR applicators. The objective was to establish a standardized commissioning framework to verify physical integrity, dimensional accuracy, so...
Target alignment is critical for successful SBRT treatment for spinal oligometastatic disease. While CBCT imaging is standard, in-treatment triggered imaging with dual orthogonal kV imaging for internal target monitoring and surface-guidance for external pati...
Unanticipated anatomical and HU changes following CT simulation often necessitate patient resimulation, potentially delaying treatment. This case report describes the use of online CBCT-guided adaptive radiotherapy to manage post-simulation anatomical changes...
To evaluate the dosimetric and non-dosimetric stability of the Varian Eclipse Treatment Planning System (TPS) following a major software upgrade from v15 to v18. This study is to confirm that the system maintains the integrity of previously established v18 co...
To evaluate the clinical impact of the Eclipse Version 18(V18) upgrade, specifically the implementation of ELM, on VMAT plan complexity, delivery efficiency, and dosimetric accuracy compared to the previous Version 15(V15).
Previously, we showed equivalent success in predicting multiple sclerosis (MS) white matter lesion evolution over two years using separate 3D U-Nets based on either baseline conventional MRI (cMRI) or quantitative MRI (qMRI). Here, we investigated 3D U-Net mo...
As precision oncology evolves, the goal is for RPT to be viewed as a bridge between nuclear medicine, radiation oncology and medical oncology for the benefit of patients with cancer. However, challenges remain related to items, such as “turf wars” between dep...
To develop a predictive tool to assess need for treatment plan adaptation.