PDCP: A Set of Tools for Extracting, Transforming, and Loading Radiotherapy Data from the Orthanc Research PACS

The Orthanc server is a light-weight open-source picture imaging and archiving system (PACS) used to store digital communications in medicine (DICOM) data. It widely research environments as it free, scalable. To enable the use of stored radiotherapy (RT) data mining machine learning tasks, records need be extracted, validated, linked, presented usable format. This paper reports patient collection processing (PDCP), set tools created using python for extracting, transforming, loading RT from PACs. PDCP enables querying, retrieving, validating summaries; analysing associations between DICOM data; retrieving into local directory; preparing various questions; tracking patient’s process identifying reasons behind excluding targeted simplifying preparation such applications, was made expandable facilitate additional tasks.