MeshingSummer2009

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  Project Week Main Page

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  Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.

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  Regression of FA data; solid line represents the mean and dotted lines the standard deviation.

Key Investigators

• University of Iowa: Nicole Grosland, Vince Magnotta, Kiran Shivanna
• Isomics: Steve Pieper, Curtis Lisle

Objective

We are integrating finite element mesh creation tools developed at the University of Iowa into 3D Slicer. The result will be that 3D Slicer models can be further processed into meshes for analysis using external finite element programs, such as ABAQUS.

Approach, Plan

Standalone mesh creation tools exist in the standalone application IA-FEMesh found by clicking here.

The first integration of the IA-FEMesh module was released at the NA-MIC All Hands Meeting in January 2009. The module's first release functions in 3D Slicer for creating meshes interactively, but doesn't allow MRML saves & restores. The second implementation will use MRML display nodes to display the meshes and will support interactive exploration and editing using VTK 3D widgets.

Progress

The rendering and data storage methods have been modified to conform to Slicer's MRML architecture for separate model and display nodes. The three major classes of objects managed by IA-FEMesh (surfaces, building blocks, and meshes) are currently rendering in slicer using custom MRMLDisplayNode subclasses. We hope to complete and test the interaction with the objects and their MRML representations during the project week. We also look to propagate changes back to the standalone code version of IA-FEMesh so future development of the standalone and integrated versions can continue from a single code base.

References

• Grosland Nicole M; Shivanna Kiran H; Magnotta Vincent A; Kallemeyn Nicole A; DeVries Nicole A; Tadepalli Srinivas C; Lisle Curtis

IA-FEMesh: an open-source, interactive, multiblock approach to anatomic finite element model development. Computer methods and programs in biomedicine 2009;94(1):96-107.

• Corouge I, Fletcher P, Joshi S, Gouttard S, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Med Image Anal. 2006 Oct;10(5):786-98. PMID: 16926104.
• Corouge I, Fletcher P, Joshi S, Gilmore J, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Int Conf Med Image Comput Comput Assist Interv. 2005;8(Pt 1):131-9. PMID: 16685838.
• Goodlett C, Corouge I, Jomier M, Gerig G, A Quantitative DTI Fiber Tract Analysis Suite, The Insight Journal, vol. ISC/NAMIC/ MICCAI Workshop on Open-Source Software, 2005, Online publication: http://hdl.handle.net/1926/39 .