DICOM Web Anonymizer

Overview

DICOM Web Anonymizer is a TypeScript library designed to anonymize DICOM (Digital Imaging and Communications in Medicine) datasets. It provides a robust solution for removing or modifying sensitive patient information while preserving the integrity of medical imaging data.

Features

• Anonymizes various DICOM elements including patient identifiers, names, dates, and addresses according to the DICOM Standard
• Customizable anonymization rules
• Preserves DICOM data structure and integrity
• Handles complex DICOM elements like sequences
• Applicable in web-bowsers

Installation

npm install dicom-web-anonymizer

Usage

Here's a basic example of how to use the DICOM Web Anonymizer:

import Anonymizer from 'dicom-web-anonymizer';
import { data } from 'dcmjs';

// Create an instance of the Anonymizer
const anonymizer = new Anonymizer();

// Load your DICOM dataset
const dataset = data.DicomDict.fromDicomJson(/_ your DICOM JSON data _/);

// Anonymize the dataset
await anonymizer.anonymize(dataset); \

// Your dataset is now anonymized
console.log(dataset);

API Reference

Anonymizer

The main class for anonymizing DICOM datasets.

Constructor

• constructor(options?: AnonymizerOptions)

Methods

• anonymize(dcmDict: data.DicomDict): Promise<void> Anonymizes the given DICOM dataset.

Configuration

Configuration options for the Anonymizer.

• protectedTags?: string[]: List of DICOM tags to leave unchanged
• anonymizePrivateTags?: boolean: Whether to anonymize (delete) private tags
• idPrefix?: string: Prefix for anonymized IDs
• idSuffix?: string: Suffix for anonymized IDs
• seed?: string: Seed for the random number generator

License

This project is licensed under the MIT License - see the LICENSE file for details.