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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 Medical Physics, Memorial Sloan Kettering Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Deep learning-based image reconstruction has shown substantial promise for addressing the highly non-uniform and under-sampled projections encountered in nonstop gated CBCT (ngCBCT). However, due to the statistical nature of data-driven learning and inherent...
Automation in external beam radiotherapy chart checks improves standardization, efficiency, and error reduction. Our academic institution, consisting of approximately 200 users over 7 campuses, partnered with a vendor to integrate institution-developed automa...
An improved imager and software (HyperSight on a Varian TrueBeam linac) feature a larger detector panel and increase the maximum gantry rotation speed for CBCT imaging to 1.5 revolutions per minute (rpm). While enabling faster acquisition, its impact on free-...
To assess how low-pitch spiral 4DCT impacts image quality, particularly noise, artifacts, and slice sensitivity profile (SSP), to help overcome the limitations of this technique.
In respiratory gating radiotherapy (RG-RT), pretreatment imaging—particularly gated cone-beam CT (gCBCT)—is essential but operationally inefficient. Current gCBCT on C-arm linear accelerator is time-consuming (2–8 minutes) and often requires re-scans when gat...
Nonstop gated CBCT (ngCBCT) was developed to overcome the limitations of current gated CBCT (gCBCT), enabling 2-8x faster acquisitions and 2.5-3.5x lower imaging dose. However, ngCBCT produces highly non-uniform and under-sampled projection data that challeng...