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Journal of Digital Imaging

, Volume 11, Supplement 1, pp 12–17 | Cite as

Enterprise-scale image distribution with a Web PACS

  • Adrian Gropper
  • Sean Doyle
  • Keith Dreyer
Sessions Session I Large-Scale PAC Systems

Abstract

The integration of images with existing and new health care information systems poses a number of challenges in a multi-facility network: image distribution to clinicians; making DICOM image headers consistent across information systems; and integration of teleradiology into PACS. A novel, Web-based enterprise PACS architecture introduced at Massachusetts General Hospital provides a solution. Four AMICAS Web/Intranet Image Servers were installed as the default DICOM destination of 10 digital modalities. A fifth AMICAS receives teleradiology studies via the Internet. Each AMICAS includes: a Java-based interface to the IDXrad radiology information system (RIS), a DICOM autorouter to tape-library archives and to the Agfa PACS, a wavelet image compressor/decompressor that preserves compatibility with DICOM workstations, a Web server to distribute images throughout the enterprise, and an extensible interface which permits links between other HIS and AMICAS. Using wavelet compression and Internet standards as its native formats, AMICAS creates a bridge to the DICOM networks of remote imaging centers via the Internet. This teleradiology capability is integrated into the DICOM network and the PACS thereby eliminating the need for special teleradiology workstations. AMICAS has been installed at MGH since March of 1997. During that time, it has been a reliable component of the evolving digital image distribution system. As a result, the recently renovated neurosurgical ICU will be filmless and use only AMICAS workstations for mission-critical patient care.

Keywords

Radiology Information System Wavelet Compression DICOM Header GROPPER Radiologist Workstation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Society for Imaging Informatics in Medicine 1998

Authors and Affiliations

  • Adrian Gropper
    • 1
  • Sean Doyle
    • 1
  • Keith Dreyer
    • 1
  1. 1.Massachusetts General Hospital and Autocyt Group, Inc.Watertown

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