@article {820,
	title = {MITK Diffusion Imaging.},
	journal = {Methods Inf Med},
	volume = {51},
	year = {2012},
	month = {2012 Oct 11},
	pages = {441-8},
	abstract = {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.},
	issn = {0026-1270},
	doi = {10.3414/ME11-02-0031},
	author = {Fritzsche, K H and Neher, P F and Reicht, I and van Bruggen, T and Goch, C and Reisert, M and Nolden, M and Zelzer, S and Meinzer, H-P and Stieltjes, B}
}
