ORIGINAL RESEARCH ARTICLE published: 27 March 2009 NEUROINFORMATICS doi: 10.3389/neuro.11.009.2009 DataViewer3D: an open-source, cross-platform multi-modal neuroimaging data visualization tool André Gouws*, Will Woods, Rebecca Millman, Antony Morland and Gary Green Department of Psychology, York NeuroImaging Centre, University of York, UK Edited by: Integration and display of results from multiple neuroimaging modalities [e.g. magnetic resonance Rolf Kötter, Radboud University imaging (MRI), magnetoencephalography, EEG] relies on display of a diverse range of data Nijmegen, The Netherlands within a common, defi ned coordinate frame. DataViewer3D (DV3D) is a multi-modal imaging Reviewed by: Stephen C. Strother, Baycrest, Canada; data visualization tool offering a cross-platform, open-source solution to simultaneous data University of Toronto, Canada overlay visualization requirements of imaging studies. While DV3D is primarily a visualization David Kennedy, Harvard Medical tool, the package allows an analysis approach where results from one imaging modality can School, USA guide comparative analysis of another modality in a single coordinate space. DV3D is built on *Correspondence: Python, a dynamic object-oriented programming language with support for integration of modular André Gouws, York NeuroImaging Centre, University of York, York Science toolkits, and development of cross-platform software for neuroimaging. DV3D harnesses the Park, York YO10 5DG, UK. power of the Visualization Toolkit (VTK) for two-dimensional (2D) and 3D rendering, calling e-mail:
[email protected] VTK’s low level C++ functions from Python. Users interact with data via an intuitive interface that uses Python to bind wxWidgets, which in turn calls the user’s operating system dialogs and graphical user interface tools.