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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Department of Radiation Oncology, NYU Langone Health
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To evaluate the accuracy of the Enhanced Leaf Model (ELM) implemented in Eclipse v18.0 for single-isocenter multiple-target (SIMT) stereotactic radiosurgery (SRS), with emphasis on updated MLC modeling and dosimetric precision.
This work introduces a framework to automate treatment planning of small-volume lattice radiotherapy applied to head and neck malignancies.
This study characterized inter-machine variations in physical leaf gaps and associated MLC parameters, including dosimetric leaf gap (DLG) and leaf gap (LG). We provide practical guidance for robust Enhanced Leaf Model (ELM) implementation through physical le...
Oncology information system (OIS) and Treatment planning system (TPS) upgrades are high-impact events that require comprehensive validation. Knowing what to prepare, who to involve, and what to test on go-live day is critical for patient safety and clinical c...