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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Medical Image distribution and visualization in a hospital using CORBA.

Ramon Alfredo Moreno1, Marcelo do Santos, Nivaldo Bertozzo

  • 1Heart Institute (InCor) - University of Sao Paulo Medical School, Brazil.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
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The Heart Institute developed a CORBA-based medical image server for distributing DICOM images and reports within hospitals. This Picture Archiving and Communication System (PACS) solution enhances image access and reusability across different sites.

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Area of Science:

  • Medical Informatics
  • Computer Science

Background:

  • Implementing effective Picture Archiving and Communication Systems (PACS) is crucial for modern healthcare institutions.
  • Efficient distribution and visualization of medical images within hospital networks present significant technical challenges.

Purpose of the Study:

  • To present the solution adopted by the Heart Institute (InCor) of Sao Paulo for medical image distribution and visualization.
  • To describe a CORBA-based image server integrated into a PACS system for intranet use.

Main Methods:

  • Development of a CORBA-based image server.
  • Integration of the server for distributing DICOM images and associated reports.
  • Implementation of a client-server architecture allowing for decoupling of components.

Main Results:

  • Successful deployment of the medical image distribution and visualization solution at the Heart Institute.
  • The CORBA-based server enables efficient distribution of DICOM images and reports.
  • The decoupled architecture allows for solution reuse across different implementation sites.

Conclusions:

  • The implemented CORBA-based PACS solution effectively addresses medical image distribution and visualization needs within a hospital intranet.
  • The system's design promotes flexibility and reusability, demonstrated by its use in multiple hospitals and environments.
  • This approach enhances accessibility of medical imaging data for clinical use.