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Surface Modelling of Neuronal Populations and Brain Structures: Use of Implicitly Represented Geometries

In: Geometric Modelling, Numerical Simulation, and Optimization

Author

Listed:
  • Jens O. Nygaard

    (SINTEF ICT, Applied Mathematics)

  • Jan G. Bjaalie

    (University of Oslo, Neural Systems and Graphics Computing Laboratory, CMBN & Institute of Basic Medical Sciences)

  • Simen Gaure

    (University of Oslo, Scientific Computing Group Center for Information Technology Services)

  • Christian Pettersen

    (University of Oslo, Neural Systems and Graphics Computing Laboratory, CMBN & Institute of Basic Medical Sciences)

  • Helge Avlesen

    (University of Bergen, Parallab, UNIFOB)

Abstract

We discuss some challenges faced by neuroscientists with respect to 3D geometry reconstruction, modelling and visualization. We have developed a toolbox based on implicit representation of geometry, distributed computing and an easy to deploy and maintain graphical Java3D based interface. We describe the principles underlying this toolbox and provide an outline of the problems and suggested solutions related to a specific project, Neuroinf [18], which is a collaboration between research groups in biomedical science, informatics, and mathematics at the participating institutions. Public access to these tools will be announced on the web page.

Suggested Citation

  • Jens O. Nygaard & Jan G. Bjaalie & Simen Gaure & Christian Pettersen & Helge Avlesen, 2007. "Surface Modelling of Neuronal Populations and Brain Structures: Use of Implicitly Represented Geometries," Springer Books, in: Geir Hasle & Knut-Andreas Lie & Ewald Quak (ed.), Geometric Modelling, Numerical Simulation, and Optimization, pages 91-122, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-68783-2_4
    DOI: 10.1007/978-3-540-68783-2_4
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