MeshingSummer2009
Scatter plot of the original FA data through the genu of the corpus callosum of a normal brain.
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. During the project week, we will be testing the second iteration of integration with 3D Slicer. The second implementation uses MRML display nodes to display the meshes and supports interactive exploration and edting with 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 will be completing and testing the interaction with the objects and their MRML representations during the project week. We also hope 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
- Fletcher P, Tao R, Jeong W, Whitaker R. A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI. Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
- 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 .
