BACKGROUND: Diffusion-MRI provides a unique window on brain anatomy and insights into aspects of tissue structure in living humans that could not be studied previously. There is a major effort in this rapidly evolving field of research to develop the algorithmic tools necessary to cope with the complexity of the datasets. OBJECTIVES: This work illustrates our strategy that encompasses the development of a modularized and open software tool for data processing, visualization and interactive exploration in diffusion imaging research and aims at reinforcing sustainable evaluation and progress in the field. METHODS: In this paper, the usability and capabilities of a new application and toolkit component of the Medical Imaging and Interaction Toolkit (MITK, www.mitk.org), MITK-DI, are demonstrated using in-vivo datasets. RESULTS: MITK-DI provides a comprehensive software framework for high-performance data processing, analysis and interactive data exploration, which is designed in a modular, extensible fashion (using CTK) and in adherence to widely accepted coding standards (e.g. ITK, VTK). MITK-DI is available both as an open source software development toolkit and as a ready-to-use installable application. CONCLUSIONS: The open source release of the modular MITK-DI tools will increase verifiability and comparability within the research community and will also be an important step towards bringing many of the current techniques towards clinical application.
BACKGROUND: Diffusion-MRI provides a unique window on brain anatomy and insights into aspects of tissue structure in living humans that could not be studied previously. There is a major effort in this rapidly evolving field of research to develop the algorithmic tools necessary to cope with the complexity of the datasets. OBJECTIVES: This work illustrates our strategy that encompasses the development of a modularized and open software tool for data processing, visualization and interactive exploration in diffusion imaging research and aims at reinforcing sustainable evaluation and progress in the field. METHODS: In this paper, the usability and capabilities of a new application and toolkit component of the Medical Imaging and Interaction Toolkit (MITK, www.mitk.org), MITK-DI, are demonstrated using in-vivo datasets. RESULTS: MITK-DI provides a comprehensive software framework for high-performance data processing, analysis and interactive data exploration, which is designed in a modular, extensible fashion (using CTK) and in adherence to widely accepted coding standards (e.g. ITK, VTK). MITK-DI is available both as an open source software development toolkit and as a ready-to-use installable application. CONCLUSIONS: The open source release of the modular MITK-DI tools will increase verifiability and comparability within the research community and will also be an important step towards bringing many of the current techniques towards clinical application.
Authors: Dusan Hirjak; Philipp A Thomann; Robert C Wolf; Katharina M Kubera; Caspar Goch; Jan Hering; Klaus H Maier-Hein Journal: Hum Brain Mapp Date: 2017-04-21 Impact factor: 5.038
Authors: 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 Journal: Int J Comput Assist Radiol Surg Date: 2013-04-16 Impact factor: 2.924
Authors: Binod Thapa Chhetry; Adrienne Hezghia; Jeffrey M Miller; Seonjoo Lee; Harry Rubin-Falcone; Thomas B Cooper; Maria A Oquendo; J John Mann; M Elizabeth Sublette Journal: J Psychiatr Res Date: 2016-01-11 Impact factor: 4.791
Authors: M T Freitag; S Bickelhaupt; C Ziener; K Meier-Hein; J P Radtke; J Mosebach; T-A Kuder; H-P Schlemmer; F B Laun Journal: Radiologe Date: 2016-02 Impact factor: 0.635