Radiological data processing system: lifecycle management and annotation

Area of Science:

• Medical Imaging Informatics
• Radiology Data Management

Background:

• Radiological datasets require robust management throughout their lifecycle.
• Existing medical information systems present challenges for independent dataset processing.

Purpose of the Study:

• To develop an automated platform for radiological dataset processing.
• To ensure the platform operates independently of medical information systems.
• To manage datasets from retrieval through annotation and presentation.

Main Methods:

• A modular platform architecture allowing independent or combined module operation.
• Sequential processing of data through interconnected modules.
• Integration of a local database for study protocols, a radiology information system (RIS), and storage for labeled studies and reports.

Main Results:

• A functional platform with local storage for efficient radiological dataset processing.
• Modules facilitate data search, extraction, anonymization, and annotation.
• Automated generation of annotated files and standardized dataset documentation.

Conclusions:

• The developed platform offers a comprehensive workflow for radiological dataset management.
• The system is operational at the Center for Diagnostics and Telemedicine.
• Future work will expand the platform's capabilities.