Medical Data Storage and Compression

Medical Data Storage and Compression

Saravanan Chandran
Copyright: © 2019 |Pages: 15
DOI: 10.4018/978-1-5225-5876-7.ch007
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Abstract

This chapter introduces medical imaging devices and its history. Further, the chapter discusses the history of the DICOM image and DICOM standard. The chapter also discusses image acquisition. Moreover, the chapter discusses the various software used for processing DICOM image. The chapter also discusses the limitations of DICOM and other medical image data formats. The basic structure of the DICOM is described in this chapter. Further, various research articles on medical image processing are discussed.
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Medical Data Storage And Compression

The patented DICOM standard is built in medical imaging devices such as scanners, servers, workstations, printers, and network hardware from leading medical diagnostic device manufacturers such as Canon Healthcare Solutions, FUJIFILM Medical Systems U.S.A. Inc., GE Healthcare, Hitachi Healthcare Americas, Konica Minolta Medical Imaging USA Inc., Philips, Samsung Medical Devices, Siemens Healthineers, Swissray International Inc., Toshiba America Medical Systems, etc. The various devices support DICOM format clearly states the DICOM classes they support.

The DICOM standard is implemented in variety of devices as few are mentioned below (Wikipedia, 2018).

  • PACS (picture archiving and communication systems)

  • Image viewers and display stations

  • CAD (computer-aided detection/diagnosis systems)

  • 3D visualization systems

  • Clinical analysis applications

  • Image printers

  • Film scanners

  • Media burners (that export DICOM files onto CDs, DVDs, etc)

  • Media importers (that import DICOM files from CDs, DVDs, USBs, etc)

  • RIS (radiology information systems)

  • VNA (vendor-neutral archives)

  • EMR (electronic medical record) systems

  • Radiology reporting systems

The DICOM standard has been widely adopted including dentists' and doctors' offices and hospitals. The DICOM standard is applicable in many medicine fields and few are listed below (Wikipedia, 2018).

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