Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
The University of Texas MD Anderson Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
This study investigates the limitations of Collapsed Cone Convolution (CCC) dose calculation algorithm in accurately modeling dose perturbations in nanoparticle-enhanced radiotherapy for lung tumors. The feasibility of CCC is compared with a Monte Carlo (MC)...
To develop an automatable standard nomenclature for field name and description to reduce field labeling errors.
To identify factors contributing to an increased trend in near miss gantry collisions and develop an effective mitigation program.
Deep-learning (DL) auto-segmentation is routinely used clinically, yet domain shift and vendor model upgrades can change behavior in non-intuitive ways. We present a regression-testing framework to commission upgraded commercial auto-contouring models and to...
Daily re-planning based on warm-start optimization is a common strategy for online adaptive radiotherapy. This method is beneficial in cases when differences between the reference and daily anatomy are within a limited range. We quantify the effects of this s...