AMNESIA 1.4.0 now supports medical imaging data anonymisation
Open-source tool by IMSI
13-05-2026
AMNESIA, the open-source data anonymisation tool developed at the Information Management Systems Institute of Athena Research Center, by IMSI Research Director Manolis Terrovitis and his team, has released a new version: AMNESIA 1.4.0. The update introduces dedicated capabilities for anonymising medical imaging data, marking an important step towards enabling the responsible reuse of complex biomedical data.
AMNESIA is a flexible, GDPR-compliant anonymisation tool that transforms sensitive datasets, by removing or generalising direct and indirect identifiers, so that data can be safely shared and reused without compromising individual privacy. It is available both as an online service and a local application, and is distributed as part of the OpenAIRE service portfolio.
What's new in AMNESIA 1.4.0:
- DICOM anonymisation engine: a dedicated engine for anonymising DICOM files, the standard format for medical imaging data that combines images with rich metadata.
- Improved metadata navigation: users can more easily identify and select which DICOM metadata elements to anonymise or pseudonymise.
- Anonymisation templates: reusable configurations for DICOM datasets, ensuring consistency and reducing manual effort for institutions working with large volumes of imaging data.
These improvements benefit researchers, institutions, and policymakers by enabling more standardised, privacy-preserving workflows for health data sharing, in line with European Open Science and data-sharing initiative.
For more details, read the full release notes here.
Most popular
13-05-2026