MEDICAL IMAGE DE-IDENTIFICATION

Protect Patient Privacy. Preserve Clinical Value.
Enable Secure Use of Medical Images.

We help organizations de-identify medical image files, including DICOM, BMP, JPEG, PNG, and TIFF, by protecting sensitive metadata and redacting protected health information displayed within image pixels.

Medical image de-identification to protect patient privacy while preserving clinical data utility
MEDICAL IMAGE DE-IDENTIFICATION

Protect Patient Privacy. Preserve Clinical Value.
Enable Secure Use of Medical Images.

We help organizations de-identify medical image files, including DICOM, BMP, JPEG, PNG, and TIFF, by protecting sensitive metadata and redacting protected health information displayed within image pixels.

DICOM Metadata De-identification

Remove or update sensitive information in DICOM metadata to protect patient privacy while retaining clinically relevant data.

  • Remove or replace patient identifiers
  • Preserve clinically relevant metadata
  • Support secure research, analytics, AI/ML, and data sharing
Removal of protected health information from DICOM metadata

DICOM Image Redaction

Remove protected health information from metadata and pixels.

Medical images can contain protected health information not only in DICOM metadata, but also directly within the image pixels. Our image de-identification process can identify and redact burned-in patient information while preserving the clinical content of the image.

  • Remove PHI from metadata and image pixels
  • Detect and redact burned-in annotations
  • Preserve clinical content and image quality
Detection and removal of burned-in patient identifiers from medical images

What We De-identify

We remove or mask sensitive information in both metadata and image content, including:

DICOM Metadata

  • Patient name
  • Patient ID
  • Accession number
  • Physician information
  • Institution information
  • Dates and other sensitive attributes

Image Content

  • Patient name
  • Dates
  • Medical record numbers
  • Burned-in annotations
  • Other visible identifiers
  • Text embedded in pixels

Supported Formats

  • DICOM
  • BMP
  • JPEG
  • PNG
  • TIFF

Common Use Cases

  • Research
  • AI/ML development and training
  • Education and training
  • Data sharing
  • Analytics
  • Archiving

How It Works

A streamlined process to de-identify your medical images.

1. Identify

Analyze metadata and image content for sensitive information.

2. De-identify

Remove or transform identified information.

3. Redact

Remove burned-in annotations from image pixels.

4. Verify

Validate that sensitive information has been removed as intended.

5. Deliver

Provide de-identified images ready for secure use.

Designed for Secure Medical Image Use

Protect Privacy

Remove or transform patient identifiers.

Support Compliance

Design the process around applicable regulatory requirements.

Preserve Clinical Utility

Retain information needed for research and analysis.

Enable Data Reuse

Prepare medical images for research, AI/ML, education, analytics, and secure sharing.

Download the Medical Image De-identification Guide

Download the Medical Image De-identification Guide

Learn more about our approach, common use cases, and best practices.

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Discuss your medical image de-identification needs with our experts.