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Improving Triangle Mesh Quality with SurfaceNets

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000 (MICCAI 2000)
Improving Triangle Mesh Quality with SurfaceNets
  • P. W. de Bruin7,
  • F. M. Vos8,
  • F. H. Post7,
  • S. F. Frisken-Gibson9 &
  • …
  • A. M. Vossepoel8 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1935))

Included in the following conference series:

  • International Conference on Medical Image Computing and Computer-Assisted Intervention
  • 2233 Accesses

  • 13 Citations

Abstract

Simulation of soft tissue deformation is a critical part of surgical simulation. An important method for this is finite element (FE) analysis. Models for FE analysis are typically derived by extraction of triangular surface meshes from CT or MRI image data. These meshes must fulfill requirements of accuracy, smoothness, compactness, and triangle quality. In this paper we propose new techniques for improving mesh triangle quality, based on the SurfaceNets method. Our results show that the meshes created are smooth and accurate, have good triangle quality, and fine detail is retained.

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Author information

Authors and Affiliations

  1. Computer Graphics & CAD/CAM group, Faculty of Information Technology and Systems, Delft University of Technology,  

    P. W. de Bruin & F. H. Post

  2. Pattern Recognition Group, Department of Applied Physics, Delft University of Technology,  

    F. M. Vos & A. M. Vossepoel

  3. MERL a Mitsubishi Electric Research Laboratory, Cambridge, MA, USA

    S. F. Frisken-Gibson

Authors
  1. P. W. de Bruin
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  2. F. M. Vos
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  3. F. H. Post
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  4. S. F. Frisken-Gibson
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  5. A. M. Vossepoel
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Editor information

Editors and Affiliations

  1. Departments of Biomedical Engineering and Physical Medicine & Rehabilitation, Northwestern University & Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Room 1406, 345 East Superior St., IL 60611, Chicago, U.S.A

    Scott L. Delp

  2. UPMC Shadyside Hospital and Carnegie Mellon University, 15232, Pittsburgh, PA, USA

    Anthony M. DiGoia

  3. Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Branislav Jaramaz

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© 2000 Springer-Verlag Berlin Heidelberg

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de Bruin, P.W., Vos, F.M., Post, F.H., Frisken-Gibson, S.F., Vossepoel, A.M. (2000). Improving Triangle Mesh Quality with SurfaceNets. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_83

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  • DOI: https://doi.org/10.1007/978-3-540-40899-4_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41189-5

  • Online ISBN: 978-3-540-40899-4

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Keywords

  • Surgical simulation
  • surface extraction
  • tissue deformation modelling
  • visualization
  • SurfaceNets

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