DICOMAnonymize

DICOMAnonymize is a dedicated solution for those needing to anonymize a substantial amount of DICOM files for scientific purposes. Developed by Image Information Systems Ltd., the latest version 1.1.0.1 offers a streamlined experience in DICOM data anonymization without the risk of modifying unintended header data.

This versatile application is especially well-suited for users who prefer an easy-to-use Windows 7, 8, 10, and 11 application over command-line tools. Unlike some methods that risk altering essential header tags, DICOMAnonymize ensures only the tags that should be anonymized are modified, making it a more reliable choice. The downloadable file, DICOMAnonymize.exe, is specifically designed for this task.

Users who previously relied on versions like 1.1 will find that the new updates only enhance its comprehensive functionality. Falling under the Photo & Graphics category, and more specifically within Viewers & Editors, this tool effectively bridges the gap between functionality and simplicity.

For those looking to download a free and efficient tool for DICOM anonymization, this application cannot be overlooked. The reviews consistently highlight its utility and ease of use, reinforcing its place as a go-to solution for professionals in the scientific community.

Pros:

• Anonymizes DICOM files without altering additional header data.
• Free to download and use.
• Supports a range of Windows operating systems (Windows 7/8/10/11).
• Developed by a reputable company, Image Information Systems Ltd..
• User-friendly and avoids the complexity of command-line operations.

Cons:

• Limited to Windows OS, does not support Mac or Linux.
• Doesn’t offer additional imaging functionalities beyond anonymization.

It is not possible to confirm if there is a free download for this software available on the developer's website. We recommend checking the downloaded files with any free antivirus.

You may want to check out more software, such as Simple Slide Show, Flash MX or Batch JPEG Rotator, which might be similar to DICOMAnonymize.