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.
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.
Authors: Ivo Wolf; Marcus Vetter; Ingmar Wegner; Thomas Böttger; Marco Nolden; Max Schöbinger; Mark Hastenteufel; Tobias Kunert; Hans-Peter Meinzer Journal: Med Image Anal Date: 2005-12 Impact factor: 8.545
Authors: Alexander Seitel; Kwong Yung; Sven Mersmann; Thomas Kilgus; Anja Groch; Thiago R dos Santos; Alfred M Franz; Marco Nolden; Hans-Peter Meinzer; Lena Maier-Hein Journal: Int J Comput Assist Radiol Surg Date: 2011-05-31 Impact factor: 2.924
Authors: Alexander Seitel; Markus Engel; Christof M Sommer; Boris A Radeleff; Caroline Essert-Villard; Claire Baegert; Markus Fangerau; Klaus H Fritzsche; Kwong Yung; Hans-Peter Meinzer; Lena Maier-Hein Journal: Med Phys Date: 2011-06 Impact factor: 4.071
Authors: K H Fritzsche; P F Neher; I Reicht; T van Bruggen; C Goch; M Reisert; M Nolden; S Zelzer; H-P Meinzer; B Stieltjes Journal: Methods Inf Med Date: 2012-09-28 Impact factor: 2.176
Authors: Andinet Enquobahrie; Patrick Cheng; Kevin Gary; Luis Ibanez; David Gobbi; Frank Lindseth; Ziv Yaniv; Stephen Aylward; Julien Jomier; Kevin Cleary Journal: J Digit Imaging Date: 2007-08-17 Impact factor: 4.056
Authors: Michael Brehler; Joseph Görres; Jochen Franke; Karl Barth; Sven Y Vetter; Paul A Grützner; Hans-Peter Meinzer; Ivo Wolf; Diana Nabers Journal: Int J Comput Assist Radiol Surg Date: 2015-08-28 Impact factor: 2.924
Authors: Daniel Paech; Constantin Dreher; Sebastian Regnery; Jan-Eric Meissner; Steffen Goerke; Johannes Windschuh; Johanna Oberhollenzer; Miriam Schultheiss; Katerina Deike-Hofmann; Sebastian Bickelhaupt; Alexander Radbruch; Moritz Zaiss; Andreas Unterberg; Wolfgang Wick; Martin Bendszus; Peter Bachert; Mark E Ladd; Heinz-Peter Schlemmer Journal: Eur Radiol Date: 2019-02-26 Impact factor: 5.315
Authors: K März; A M Franz; A Seitel; A Winterstein; R Bendl; S Zelzer; M Nolden; H-P Meinzer; L Maier-Hein Journal: Int J Comput Assist Radiol Surg Date: 2013-12-17 Impact factor: 2.924
Authors: B Graser; D Wald; S Al-Maisary; M Grossgasteiger; R de Simone; H-P Meinzer; I Wolf Journal: Int J Comput Assist Radiol Surg Date: 2014-07 Impact factor: 2.924
Authors: M Wagner; M Gondan; C Zöllner; J J Wünscher; F Nickel; L Albala; A Groch; S Suwelack; S Speidel; L Maier-Hein; B P Müller-Stich; H G Kenngott Journal: Surg Endosc Date: 2015-06-23 Impact factor: 4.584
Authors: Alexander Seitel; Nadine Bellemann; Mohammadreza Hafezi; Alfred M Franz; Mark Servatius; Arash Saffari; Thomas Kilgus; Heinz-Peter Schlemmer; Arianeb Mehrabi; Boris A Radeleff; Lena Maier-Hein Journal: Int J Comput Assist Radiol Surg Date: 2015-05-28 Impact factor: 2.924