A tool for intraoperative visualization of registration results

نویسندگان

  • Franklin King
  • Andras Lasso
  • Csaba Pinter
  • Gabor Fichtinger
چکیده

PURPOSE: Validation of image registration algorithms is frequently accomplished by the visual inspection of the resulting linear or deformable transformation due to the lack of ground truth information. Visualization of transformations produced by image registration algorithms during image-guided interventions allows for a clinician to evaluate the accuracy of the result transformation. Software packages that perform the visualization of transformations exist, but are not part of a comprehensive and extensible application framework or otherwise have other shortcomings. We present a tool that visualizes both linear and deformable transformations and is integrated in an open-source software application framework suited for intraoperative use. METHODS: Visualization of transformations is accomplished by representing the transformation as a vector field with a choice of six different modes. Glyph visualization mode uses oriented and scaled glyphs, such as arrows, to represent the deformation field in 3D whereas glyph slice visualization mode creates arrows that can be seen as a 2D vector field. Grid visualization mode creates deformed grids shown in 3D whereas grid slice visualization mode creates a series of 2D grids. Block visualization mode creates a deformed rectangular model. Finally, contour visualization mode creates isosurfaces and isolines that visualize the magnitude of deformation across a volume. The transform visualizer was implemented as a plugin for the application 3D Slicer. 3D Slicer is a comprehensive open-source application framework developed for medical image computing. RESULTS: The transform visualizer tool fulfilled the requirements for quick evaluation of intraoperative image registrations. The plugin is freely available as an extension for 3D Slicer. CONCLUSION: A tool for the visualization of deformation fields was created and integrated into 3D Slicer, facilitating the validation of image registration algorithms within a comprehensive application framework suited for intraoperative use.

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تاریخ انتشار 2014