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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Rank #123 · 8 unique linked submissions.
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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To evaluate a quantitative SGRT-based workflow for pre-imaging DIBH amplitude verification and quantify its impact on setup precision by comparing residual setup errors across the VRT, LNG, and LAT axes.
To quantify the geometric localization and dosimetric accuracy of a novel 3D surface-guided radiotherapy (SGRT) system (LAP LUNA) using an end-to-end anthropomorphic phantom test.
Intrafraction imaging is a useful tool to provide information within the fraction on the patient positioning. It allows for adjustment for any movement that may occur during treatment. The novel PETLINAC is equipped with superior kV CT imaging providing accur...
Deep inspiration breath hold (DIBH) using surface guidance can be useful as a motion management strategy but for high dose, steep gradient modalities such as SBRT, it is important to compliment it with active motion management using triggered imaging of the i...
To quantify the impact of Region of Interest (ROI) selection on the localization accuracy, latency, and stability of a commercial SGRT system. This preliminary phantom study follows AAPM TG-302 guidance to investigate how the geometric characteristics of the...
To develop and validate a fully automated, anatomy-driven workflow for patient-specific silicone bolus fabrication using the Eclipse Scripting API (ESAPI), and to evaluate geometric and dosimetric accuracy using phantom-based post-fabrication CT imaging and d...
To leverage 3-D surface guidance (SGRT) to investigate the relationship between lung volume and tracked surface area to be used for personalization and optimization of inhalation-based solid nanoparticle treatment simulations.
Dose summation for re-irradiation requires a transformation of the dose from the previous plan on CT data set CT1 onto a new plan on CT data set CT2. The dose transformation corresponds to the CT1-CT2 image transformation. Therefore, the validity of the sum d...