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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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SUNY Upstate Medical University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
To evaluate the impact of four-dimensional CT (4D-CT) reconstruction methods on lung tumor volume estimation and apparent tissue density under respiratory motion using dynamic phantoms with diverse geometries.
To quantify the systematic uncertainty introduced to pre-configured beam data if the Effective Point of Measurement (EPOM) proposed in AAPM TG-51 Report-374 is implemented.