ACADEMIC & CLINICAL TOOL · IN-BROWSER DE-IDENTIFICATION

How to Anonymize DICOM Files for Research and Publication

Before sharing medical images for research, teaching or publication, you must remove patient identifiers.

100% Client-Side WebAssembly · No patient data sent to cloud servers · DICOM PS 3.15 compliant

What MedSlice removes

MedSlice strips patient identifiers in compliance with international radiology privacy standards:

Patient Identifiers

Patient Name, Patient ID, Birth Date, Sex, and Medical Record Numbers.

Institution Data

Institution Name, Address, Department, and Referring Physician names.

Study Metadata

Accession numbers, study dates, and other sensitive tags according to the DICOM standard.

Pseudo-anonymization option

You can replace the patient name with a research ID (such as CASE_01 or TRIAL_PATIENT_B) instead of deleting it completely, preserving longitudinal study tracking.

Best practices

PRACTICE 01

Backup originals

Always keep an original non-anonymized copy in a secure location.

PRACTICE 02

Burned-in text

Verify that no burned-in patient data remains in the pixel data (especially in ultrasound and secondary captures).

PRACTICE 03

Ethics documentation

Document your anonymization process for ethics committees and journal review boards.

Frequently Asked Questions

Why must patient identifiers be removed before research or publication?

Data protection laws (GDPR, HIPAA) and institutional review boards require complete de-identification before medical scans can be presented in conferences, journals, or clinical research databases.

What DICOM tags does MedSlice remove?

MedSlice removes Patient Name, ID, Birth Date, Sex, Institution and Referring Physician data, and other sensitive tags according to the DICOM standard (PS 3.15 Annex E).

Can I use pseudo-anonymization with research IDs?

Yes. You can replace the patient name with a custom research ID (e.g., SUBJECT_001) instead of deleting it completely.

Are scans uploaded to an external server?

No. All de-identification runs in your browser via WebAssembly. Patient files never leave your local computer memory.

Ready to de-identify your medical study?

Fast, privacy-focused, and completely client-side.

Start Anonymizing Now