Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Department of Radiation Oncology, Stanford University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Cherenkov imaging (CI) provides direct, real-time visualization of dose on a patient's surface and has been used for treatment verification and error detection in radiation therapy. However, clinical adoption of CI remains in its infancy; existing image revie...
To evaluate real-time, longitudinal performance of a commercial auto-segmentation model across a broad radiotherapy cohort and examine contour editing influence on planning decisions and organ-at-risk (OAR) doses, with attention to practice patterns, disease-...
Collision risk between the patient/immobilization devices with gantry or the on-board imaging system remains a safety and workflow concern in modern radiotherapy. We built and implemented a real-time laser visualization system, enabling immediate assessment o...