Abstract
Dicom Image Anonymization and Transfer to Create a Diagnostic Radiology Teaching File
Highlights
IntroductionThe Radiological Society of North America (RSNA), Medical Image Resource Center - Teaching File System (TFS), a server-based application was deployed to create Diagnostic Radiology teaching files
The Radiological Society of North America (RSNA), Medical Image Resource Center - Teaching File System (TFS), a server-based application was deployed to create Diagnostic Radiology teaching files.The source of the images for the TFS was Philips IntelliSpace Picture Archive and Communications System (PACS)
The image capture, anonymization, and export processes to prepare images from PACS for the TFS were mediated by a web-based application, the Teaching File Transfer Tool (TFTT)
Summary
The Radiological Society of North America (RSNA), Medical Image Resource Center - Teaching File System (TFS), a server-based application was deployed to create Diagnostic Radiology teaching files. HIPAA defines a set of direct identifiers and for a data set to be de-identified it must be stripped of all elements described by the list of direct identifiers (Table 1) These lists include obvious identifiers such as names and medical record numbers, and less obvious identifiers such as service dates and geographic subdivisions smaller than a state. De-identify pixel data: The TFTT includes an image editing feature for removing patient information from image pixel data in DICOM, PNG, JPG, and GIF images. Embedded pixel data is encountered with any modality that captures and stores images as screen captures This TFTT feature works with single-frame DICOM images and allows users to make changes to DICOM multi frame image series by automatically applying image transformations to all frames in the image stack. The raw image DICOM header for this X-ray consisted of 119 tags which were anonymized and diminished to 35 tags
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
