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The Design of SimpleITK.

Bradley C Lowekamp1, David T Chen1, Luis Ibáñez2

  • 1National Library of Medicine, Office of High Performance Computing and Communications, National Institutes of Health Bethesda, MD, USA ; Medical Science and Computing Rockville, MD, USA.

Frontiers in Neuroinformatics
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Summary
This summary is machine-generated.

SimpleITK offers a user-friendly interface to the Insight Segmentation and Registration Toolkit (ITK), simplifying complex image processing for wider scientific use. This open-source library enhances rapid prototyping and education in biomedical imaging.

Keywords:
Insight Toolkitimage processing and analysisimage processing softwaresegmentationsoftware designsoftware development

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Area of Science:

  • Medical image analysis
  • Computational biology
  • Software engineering

Background:

  • The Insight Segmentation and Registration Toolkit (ITK) is a powerful C++ library for image processing.
  • Existing interfaces like WrapITK exposed ITK's complex templated structure, hindering ease of use.
  • There was a need for a simplified, high-level interface to ITK for broader accessibility.

Purpose of the Study:

  • To develop a simplified interface to the ITK library.
  • To facilitate rapid prototyping, education, and scientific activities in image processing.
  • To make advanced ITK functionalities accessible to a wider audience through high-level programming languages.

Main Methods:

  • Developed SimpleITK as a facade class structure, abstracting ITK's template-heavy interface.
  • Implemented procedural methods and a template-less layer, hiding ITK's demand-driven pipeline.
  • Utilized code-generation and C++ meta-programming for a simplified, user-friendly API.

Main Results:

  • SimpleITK provides an intuitive and simplified interface to ITK's image processing algorithms.
  • The library offers practical conveniences such as binary distributions and overloaded operators.
  • Successfully broadened access to ITK's capabilities for researchers and educators.

Conclusions:

  • SimpleITK effectively lowers the barrier to entry for using advanced image processing techniques.
  • The library supports rapid development and educational initiatives in scientific computing.
  • SimpleITK is an open-source solution licensed under Apache License Version 2.0.