Documentation/Nightly/Modules/QuadEdgeSurfaceMesher

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Home < Documentation < Nightly < Modules < QuadEdgeSurfaceMesher


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

This module is part of the SlicerProstate extension.

Acknowledgments: This work is/was supported in part the National Institutes of Health, National Cancer Institute through the following grants:

Authors: Andrey Fedorov (SPL)
Contact: Andrey Fedorov, <email>fedorov@bwh.harvard.edu</email>

License: Slicer License


National Center for Image Guided Therapy (NCIGT)  
Quantitative Image Informatics for Cancer Research  
Surgical Planning Laboratory (SPL)  

Module Description

This module can be used as an alternative to ModelMaker to generate a smooth triangulated surface of a segmented label with improved (in the opinion of the author of this module) control over the number of triangles in the output surface, as well as improved visual appearance of the result. This module was motivated by the need to generate smooth compact surface triangulations for prostate MRI images.

The module operates by applying Marching Cubes algorithm to the input segmentation, and then uses the ITK filters implementing the approach described in [1]. Currently, the module does not support multiple labels.

Visualization of the result of the marching cubes algorithm (blue), ModelMaker output with 0.5 decimation and 0.5 smoothing settings (red) and the QuadEdgeSurfaceMesher module (single parameter DecimationConstant = 0.01) (yellow).
Visualization of the result (wireframe visualization) of the marching cubes algorithm (blue), ModelMaker output with 0.5 decimation and 0.5 smoothing settings (red) and the QuadEdgeSurfaceMesher module (single parameter DecimationConstant = 0.01) (yellow). Note the number, uniformity and quality of the triangles in the yellow trianglulation.

Use Cases

  • MRI-ultrasound fusion biopsy of the prostate (primary)
  • therapy planning
  • treatment response assessment

Tutorials

None at this time ... stay tuned!

Panels and their use

  • Input image: input segmentation image
  • Label to mesh: label ID to use for triangulation
  • Decimation constant: parameter that determines the number of the triangles in the output surface mesh as a proportion of the triangles in the mesh produced by marching cubes.
  • Output triangulated surface: surface model that to store the result

Similar Modules

ModelMaker

References

[1] Gelas A, Gouaillard A, Megason S (2008) Surface meshes incre- mental decimation framework. Insight J http://www.insight-journal.org/browse/publication/298

[2] Fedorov A, Khallaghi S, Antonio Sánchez C, Lasso A, Fels S, Tuncali K, Neubauer Sugar E, Kapur T, Zhang C, Wells W, Nguyen PL, Abolmaesumi P, Tempany C. (2015) Open-source image registration for MRI–TRUS fusion-guided prostate interventions. Int J CARS: 1–10. Available: http://link.springer.com/article/10.1007/s11548-015-1180-7.

[3] Fedorov A, Nguyen PL, Tuncali K, Tempany C. (2015). Annotated MRI and ultrasound volume images of the prostate. Zenodo. http://doi.org/10.5281/zenodo.16396

Information for Developers