Create and test de-identification pipeline

To support development of tailored de-identification pipelines, for both central and local software installation, TraIT can deliver support in building this pipeline. Development of a de-identification pipeline is an iterative process, as explained below, based on the delivered test images.

1. Setup of pipeline

As a first step, we will set-up a generic pipeline for local testing purposes. This pipeline will receive images, apply a de-identification profile, and store the de-identified images locally.

As de-identification profile, we will start with either

- the strict profile,
- a profile used in a previous study of the participating center, or
- from another participating center within the study.

Afterwards, we will use the delivered test images for de-identification, and assess the anonimization.

2. Assessing and modifying de-identification profiles

After the 1st round of de-identification of the test images, we will inspect the de-identified images (random inspection of one slice per DICOM series) and check for non-processed personal information, both for public (standardized) and private (non-standardized) DICOM metadata.

If personal information is still present, we will add removal or modification rules to the de-identification profile. Afterwards, we will again process the originally delivered test images using the modified pipeline/de-identification, and re-assess the results as explained above.

3. Send test images to BMIA

After the process in task 2 is completed, we will export the delivered test images in de-identified form to BMIA, in the target collection for the specific research study. This is the entry point for the iterative process as shown in the preparation phase page. For the next step, the study coordinator and/or data analyzer will be asked to download the images from BMIA and conduct the analysis as performed within the study.


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