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Towards an Information Infrastructure for Medical Image Sharing.

Gustavo H M B Motta1, Danilo A B Araújo2, Juracy R Lucena-Neto2

  • 1Center of Informatics, Federal University of Paraíba, João Pessoa, PB, 58058-600, Brazil. gustavo@ci.ufpb.br.

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|June 15, 2019
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Summary

The DICOMFlow model enhances medical image sharing by creating a decentralized information infrastructure. This system improves scalable, comprehensive, and secure sharing for teleradiology, overcoming current limitations.

Keywords:
Digital imaging and communications in medicine (DICOM)Information infrastructureMedical image sharingPicture archive and communication systems (PACS)Systems architectureTeleradiology

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Area of Science:

  • Medical Imaging Informatics
  • Health Information Systems
  • Telemedicine Infrastructure

Background:

  • Current Picture Archiving and Communication Systems (PACS)/Digital Imaging and Communications in Medicine (DICOM) infrastructure lacks scalability and comprehensive security for medical image sharing.
  • Existing systems do not fully function as an information infrastructure, hindering efficient collaboration and data exchange.
  • Limitations in current infrastructure impede the development of advanced teleradiology services.

Purpose of the Study:

  • To propose DICOMFlow, a novel decentralized and distributed infrastructure model for medical image sharing.
  • To foster the creation of a true information infrastructure for enhanced medical image exchange and teleradiology.
  • To leverage existing PACS/DICOM and internet email infrastructures for a robust solution.

Main Methods:

  • Development of the DICOMFlow model, a decentralized and distributed infrastructure.
  • Integration with existing radiology department PACS/DICOM infrastructure.
  • Utilizing internet email infrastructure as a foundational component for data transfer and communication.
  • Conducting experiments in both real-world and simulated environments to validate the model's feasibility.

Main Results:

  • Demonstrated the feasibility of the DICOMFlow infrastructure in real and simulated environments.
  • Indicated the potential of DICOMFlow to facilitate the formation of an information infrastructure for medical image sharing.
  • Showcased improved capabilities for scalable, comprehensive, and secure medical image sharing and teleradiology.

Conclusions:

  • The DICOMFlow model presents a viable solution for overcoming the limitations of current medical image sharing infrastructures.
  • DICOMFlow effectively promotes the development of a robust information infrastructure essential for advanced teleradiology.
  • The proposed infrastructure enhances the scalability, comprehensiveness, and security of medical image sharing.