Difference between revisions of "Mapped Hexahedral Meshing"

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'''Links:'''
 
'''Links:'''
*[http://www.ccad.uiowa.edu/mimx Musculoskeletal Imaging, Modelling and Experimentation (MIMX)]
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*[http://www.ccad.uiowa.edu/mimx Musculoskeletal Imaging, Modeling and Experimentation (MIMX)]
  
 
'''Execution Model Program Description:'''
 
'''Execution Model Program Description:'''

Revision as of 20:02, 6 January 2008

Home < Mapped Hexahedral Meshing

Objective:

  • Develop a tool for mapped meshing that will warp a template mesh onto a surface for a new subject
  • Determine the limits that the warping algorithm will succeed and fail
  • Apply these techniques to a sample of data to determine the reliability of the algorithm with respect to mesh quality

Progress:

  • Previous work on this project was performed at the 2007 AHM - Mapped Mesh 4 Block
  • Warped meshing framework has been developed using VTK and ITK using a finite element approach
    • VTK
      • Support the reading and writing of meshes (vtkUnstructuredGrid) and surfaces (vtkPolyData)
      • Distance measures between the deforming mesh and the subject surface
      • Initial registration - Iterative Closest Point or Procrustes
    • ITK
      • Finite element framework used to warped the template mesh onto the subject surface
  • Registration made hierarchical to speed up the registration process
    • Requires multiple template meshes to exist
    • This is readily supported using the interactive meshing tools by changing the average edge length
    • Subsequent meshes are initialized using a thin plate splines
  • Parameters allowed to vary at each level of the registration
    • Iterations
    • Young's Modulus
  • Convergence based on distance between the warped template and the subject surface
    • User specified convergence threshold in mm
    • Convergence can be based on average or maximum distance
  • Boundary conditions can be applied
    • Center of the mesh - Holds the eight nodes closest to the center of the mesh fixed
    • External - Applies boundary conditions to the mesh as they fall within a user specified tolerance of the subject surface
  • Initial testing done by warping a cube mesh onto a sphere
    • Evaluation:
      • Distance between warped mesh and subject surface
      • Mesh quality

To Do:

  • Further evaluation on the phalanx bones of the hand
  • Convert the code into a Slicer3 execution model program
  • Develop additional Slicer3 execution model programs to support complete workflow
    • Assignment of material properties based in image signal intensity
    • Export to Abaqus format
  • Determine if there are ways to improve the speed of the algorithm

Key Investigators:

  • Iowa: Nicole Grosland, Vincent Magnotta, Ritesh Bafna

Links:

Execution Model Program Description:

  • To be filled in once developed

This tool was developed as part of an NIH NA-MIC Collaboration Grant EB005973.

Program Usage:

  • To be filled in once developed

Figures:

Initial position of the cube template mesh and the sphere surface prior to registration using the itk::FEM mapped meshing algorithm
Mesh quality evaluation of the warped cube
a)Position of the template cube mesh and surface after ICP registration. b) Resulting warped cube after itk::FEM mapped meshing. c) Distance map between the warped cube and the sphere surface
Initial attempt to apply mapped meshing algorithm to the proximal phalanx