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MITK Diffusion Imaging

Authors :
Marco Nolden
Hans-Peter Meinzer
Klaus H. Fritzsche
Ignaz Reicht
Bram Stieltjes
Peter F. Neher
Marco Reisert
T. van Bruggen
Sascha Zelzer
Caspar J. Goch
Source :
Methods of Information in Medicine. 51:441-448
Publication Year :
2012
Publisher :
Georg Thieme Verlag KG, 2012.

Abstract

SummaryBackground: 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), MITKDI, 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 in stallable 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.

Details

ISSN :
2511705X and 00261270
Volume :
51
Database :
OpenAIRE
Journal :
Methods of Information in Medicine
Accession number :
edsair.doi.dedup.....48b6b230698a9e12a4355721d88afc5b