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DataViewer3D: An Open-Source, Cross-Platform Multi-Modal Neuroimaging Data Visualization Tool.

Gouws A, Woods W, Millman R, Morland A, Green G - Front Neuroinform (2009)

Bottom Line: Formats for other data types are supported.DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP.DV3D is offered for free download with an extensive set of tutorial resources and example data.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, York NeuroImaging Centre University of York UK.

ABSTRACT
Integration and display of results from multiple neuroimaging modalities [e.g. magnetic resonance imaging (MRI), magnetoencephalography, EEG] relies on display of a diverse range of data within a common, defined coordinate frame. DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies. While DV3D is primarily a visualization tool, the package allows an analysis approach where results from one imaging modality can guide comparative analysis of another modality in a single coordinate space. DV3D is built on Python, a dynamic object-oriented programming language with support for integration of modular toolkits, and development of cross-platform software for neuroimaging. DV3D harnesses the power of the Visualization Toolkit (VTK) for two-dimensional (2D) and 3D rendering, calling 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. DV3D currently supports NIfTI-1, ANALYZE and DICOM formats for MRI data display (including statistical data overlay). Formats for other data types are supported. The modularity of DV3D and ease of use of Python allows rapid integration of additional format support and user development. DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP. DV3D is offered for free download with an extensive set of tutorial resources and example data.

No MeSH data available.


Related in: MedlinePlus

The use of plane widgets to show 3D volume data. (A) A set of three orthogonal planes, each intersecting a single 3D MRI volume. (B) Left clicking on any one plane with a mouse will make a cross-hair visible (in red) allowing data from a specific coordinate in the data set to be displayed. Real-time reformatting of data (re-slicing it in any plane direction) is possible by tilting the planes around their current origin. (C) The axial plane is rotated around the y-axis by clicking on the edge of the plane (show in red) and moving the mouse. (D) The axial plane is rotated around the x-axis by clicking on another plane edge (shown in red). (E) The axial plane is rotated around the z-axis by clicking in the corner of the plane (shown in red).
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Figure 5: The use of plane widgets to show 3D volume data. (A) A set of three orthogonal planes, each intersecting a single 3D MRI volume. (B) Left clicking on any one plane with a mouse will make a cross-hair visible (in red) allowing data from a specific coordinate in the data set to be displayed. Real-time reformatting of data (re-slicing it in any plane direction) is possible by tilting the planes around their current origin. (C) The axial plane is rotated around the y-axis by clicking on the edge of the plane (show in red) and moving the mouse. (D) The axial plane is rotated around the x-axis by clicking on another plane edge (shown in red). (E) The axial plane is rotated around the z-axis by clicking in the corner of the plane (shown in red).

Mentions: The vtkImagePlaneWidget is the core tool utilized by DV3D to display and interact with volumetric MRI data and associated overlay volumes. This widget works by creating a plane that can be interactively placed in an image volume. Readers may ask why a 2D tool is incorporated in a 3D data viewer. VTK allows the user to manipulate this plane in real time, using the third dimension to tilt, rotate, or translate the plane in virtually any orientation. Thus a 2D plane becomes a diverse data exploration tool. Figure 5A shows a set of planes created for an MRI data set. The functionality of the vtkImagePlaneWidget is described in detail in the tutorial examples and documentation. In short, it offers the following functionality:


DataViewer3D: An Open-Source, Cross-Platform Multi-Modal Neuroimaging Data Visualization Tool.

Gouws A, Woods W, Millman R, Morland A, Green G - Front Neuroinform (2009)

The use of plane widgets to show 3D volume data. (A) A set of three orthogonal planes, each intersecting a single 3D MRI volume. (B) Left clicking on any one plane with a mouse will make a cross-hair visible (in red) allowing data from a specific coordinate in the data set to be displayed. Real-time reformatting of data (re-slicing it in any plane direction) is possible by tilting the planes around their current origin. (C) The axial plane is rotated around the y-axis by clicking on the edge of the plane (show in red) and moving the mouse. (D) The axial plane is rotated around the x-axis by clicking on another plane edge (shown in red). (E) The axial plane is rotated around the z-axis by clicking in the corner of the plane (shown in red).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2666199&req=5

Figure 5: The use of plane widgets to show 3D volume data. (A) A set of three orthogonal planes, each intersecting a single 3D MRI volume. (B) Left clicking on any one plane with a mouse will make a cross-hair visible (in red) allowing data from a specific coordinate in the data set to be displayed. Real-time reformatting of data (re-slicing it in any plane direction) is possible by tilting the planes around their current origin. (C) The axial plane is rotated around the y-axis by clicking on the edge of the plane (show in red) and moving the mouse. (D) The axial plane is rotated around the x-axis by clicking on another plane edge (shown in red). (E) The axial plane is rotated around the z-axis by clicking in the corner of the plane (shown in red).
Mentions: The vtkImagePlaneWidget is the core tool utilized by DV3D to display and interact with volumetric MRI data and associated overlay volumes. This widget works by creating a plane that can be interactively placed in an image volume. Readers may ask why a 2D tool is incorporated in a 3D data viewer. VTK allows the user to manipulate this plane in real time, using the third dimension to tilt, rotate, or translate the plane in virtually any orientation. Thus a 2D plane becomes a diverse data exploration tool. Figure 5A shows a set of planes created for an MRI data set. The functionality of the vtkImagePlaneWidget is described in detail in the tutorial examples and documentation. In short, it offers the following functionality:

Bottom Line: Formats for other data types are supported.DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP.DV3D is offered for free download with an extensive set of tutorial resources and example data.

View Article: PubMed Central - PubMed

Affiliation: Department of Psychology, York NeuroImaging Centre University of York UK.

ABSTRACT
Integration and display of results from multiple neuroimaging modalities [e.g. magnetic resonance imaging (MRI), magnetoencephalography, EEG] relies on display of a diverse range of data within a common, defined coordinate frame. DataViewer3D (DV3D) is a multi-modal imaging data visualization tool offering a cross-platform, open-source solution to simultaneous data overlay visualization requirements of imaging studies. While DV3D is primarily a visualization tool, the package allows an analysis approach where results from one imaging modality can guide comparative analysis of another modality in a single coordinate space. DV3D is built on Python, a dynamic object-oriented programming language with support for integration of modular toolkits, and development of cross-platform software for neuroimaging. DV3D harnesses the power of the Visualization Toolkit (VTK) for two-dimensional (2D) and 3D rendering, calling 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. DV3D currently supports NIfTI-1, ANALYZE and DICOM formats for MRI data display (including statistical data overlay). Formats for other data types are supported. The modularity of DV3D and ease of use of Python allows rapid integration of additional format support and user development. DV3D has been tested on Mac OSX, RedHat Linux and Microsoft Windows XP. DV3D is offered for free download with an extensive set of tutorial resources and example data.

No MeSH data available.


Related in: MedlinePlus