The Medical Imaging Interaction Toolkit: challenges and advances

10 years of open-source development
  • Marco Nolden
  • Sascha Zelzer
  • Alexander Seitel
  • Diana Wald
  • Michael Müller
  • Alfred M. Franz
  • Daniel Maleike
  • Markus Fangerau
  • Matthias Baumhauer
  • Lena Maier-Hein
  • Klaus H. Maier-Hein
  • Hans -Peter Meinzer
  • Ivo Wolf
Original Article

DOI: 10.1007/s11548-013-0840-8

Cite this article as:
Nolden, M., Zelzer, S., Seitel, A. et al. Int J CARS (2013) 8: 607. doi:10.1007/s11548-013-0840-8

Abstract

Purpose

   The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control.

Methods

   MITK provides modularization and extensibility on different levels. In addition to the original toolkit, a module system, micro services for small, system-wide features, a service-oriented architecture based on the Open Services Gateway initiative (OSGi) standard, and an extensible and configurable application framework allow MITK to be used, extended and deployed as needed. A refined software process was implemented to deliver high-quality software, ease the fulfillment of regulatory requirements, and enable teamwork in mixed-competence teams.

Results

   MITK has been applied by a worldwide community and integrated into a variety of solutions, either at the toolkit level or as an application framework with custom extensions. The MITK Workbench has been released as a highly extensible and customizable end-user application. Optional support for tool tracking, image-guided therapy, diffusion imaging as well as various external packages (e.g. CTK, DCMTK, OpenCV, SOFA, Python) is available. MITK has also been used in several FDA/CE-certified applications, which demonstrates the high-quality software and rigorous development process.

Conclusions

   MITK provides a versatile platform with a high degree of modularization and interoperability and is well suited to meet the challenging tasks of today’s and tomorrow’s clinically motivated research.

Keywords

Open-source Medical image analysis Platform Extensible Service-oriented architecture Software process Quality management Image-guided therapy 

Copyright information

© CARS 2013

Authors and Affiliations

  • Marco Nolden
    • 1
  • Sascha Zelzer
    • 1
  • Alexander Seitel
    • 1
  • Diana Wald
    • 1
  • Michael Müller
    • 1
  • Alfred M. Franz
    • 1
  • Daniel Maleike
    • 3
  • Markus Fangerau
    • 1
  • Matthias Baumhauer
    • 1
    • 3
  • Lena Maier-Hein
    • 1
  • Klaus H. Maier-Hein
    • 1
  • Hans -Peter Meinzer
    • 1
  • Ivo Wolf
    • 2
  1. 1.Division of Medical and Biological Informatics (E130)German Cancer Research CenterHeidelbergGermany
  2. 2.Mannheim University of Applied SciencesMannheimGermany
  3. 3.Mint Medical GmbHDossenheim, HeidelbergGermany

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