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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.
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.
Cyberattacks pose a growing threat to the continuity of radiation therapy services. Establishing contingency plans (CPs) is critical for rapid recovery post-cyberattack and for maintaining operational resilience. However, the extent of awareness, perceived im...
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...
While AAPM Working Group Report 438 provides essential guidance for business continuity planning after a cyberattack, preventing attacks remains the highest priority. Medical physicists need practical, immediately implementable prevention strategies and must...
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...
The sensitivity of normal liver tissue raises concerns about potential liver function post-cancer treatment. We investigate whether liver radiomics features derived from standard CT-guided radiation therapy (RT) can improve acute functional liver decline pred...