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Related Experiment Videos

Dictionary-based medical image I/O

F J Appelman1, K J Zuiderveld, A G Gash

  • 1Utrecht University, Computer Vision Research Group, University Hospital Utrecht, The Netherlands.

Medical Informatics = Medecine Et Informatique
|January 1, 1993
PubMed
Summary
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A new C++ image I/O library offers flexibility for medical imaging and beyond. Its data dictionaries enable customization for various applications, including support for image compression.

Area of Science:

  • Computer Science
  • Medical Imaging
  • Software Engineering

Background:

  • Medical image processing often requires specialized input/output (I/O) libraries.
  • Existing libraries may lack flexibility for diverse pixel types, architectures, and parameter handling.

Purpose of the Study:

  • To present a general-purpose image I/O library adaptable to various applications.
  • To address specific challenges in medical image processing I/O.

Main Methods:

  • Developed a C++ library utilizing externally defined data dictionaries.
  • Implemented automatic data type conversion and support for various pixel types.
  • Included explicit support for image compression.

Main Results:

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  • The library is architecture-independent and handles an unlimited number of image parameters.
  • Data dictionaries allow tuning for different application areas beyond medical imaging.
  • Automatic data type conversion simplifies data handling.

Conclusions:

  • The presented image I/O library provides a flexible and customizable solution.
  • Its design facilitates integration into diverse image processing workflows.
  • The library is readily available for broader use.