Getting started with image de-identification with Presidio

Presidio provides a simple way to de-identify image data by detecting and anonymizing personally identifiable information (PII). This guide shows you how to get started with image de-identification using Presidio's Python packages.

Presidio has two main modules for image de-identification: General purpose, and specifically for DICOM (medical) images.

Simple flow - Python package

=== "Anonymize PII in images"

1. Install presidio-image-redactor

    ```sh
    pip install presidio-image-redactor
    ```
   
2. Redact PII from image

    ```py
    from presidio_image_redactor import ImageRedactorEngine
    from PIL import Image
    
    image = Image.open(path_to_image_file)
    
    redactor = ImageRedactorEngine()
    redactor.redact(image=image)
    ```

=== "Redact text PII in DICOM images"

1. Install presidio-image-redactor

    ```sh
    pip install presidio-image-redactor
    ```
   
2. Redact text PII from DICOM image

    ```py
    import pydicom
    from presidio_image_redactor import DicomImageRedactorEngine

    # Set input and output paths
    input_path = "path/to/your/dicom/file.dcm"
    output_dir = "./output"

    # Initialize the engine
    engine = DicomImageRedactorEngine()

    # Option 1: Redact from a loaded DICOM image
    dicom_image = pydicom.dcmread(input_path)
    redacted_dicom_image = engine.redact(dicom_image, fill="contrast")

    # Option 2: Redact from DICOM file
    engine.redact_from_file(input_path, output_dir, padding_width=25, fill="contrast")

    # Option 3: Redact from directory
    engine.redact_from_directory("path/to/your/dicom", output_dir, padding_width=25, fill="contrast")
    ```

Simple flow - Docker container

Presidio provides a Docker containers that you can use to de-identify image data.

Download Docker image

docker pull mcr.microsoft.com/presidio-image-redactor

Run container

docker run -d -p 5003:3000 mcr.microsoft.com/presidio-image-redactor

Use the API

curl -XPOST "http://localhost:5003/redact" -H "content-type: multipart/form-data" -F "image=@img.png" -F "data=\"{'color_fill':'255'}\"" > out.png

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Getting started with image de-identification with Presidio

Simple flow - Python package

Simple flow - Docker container

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