Abstract
Numerical grid generation is used to provide a framework for brain and neuron visualization. Smoothing spline surfaces are fit to contour data to generate 3D solid model reconstruction of brain tissue. Finite element methods are then used to subdivide the solid models into biologically-consistent finite elements. Numerical grid generation is employed to provide a curvilinear coordinate system within the finite elements. Synthetic and manually traced neurons are mapped into the gridded solid model using the curvilinear coordinate system. To this end grid generation tools, neuron mapping tools, and visualization tools have been implemented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Knupp and S. Steinberg, Fundamentals of Grid Generation. Boca Raton, FL: CRC Press, 1994.
B. McCormick and K. Mulchandani, “L-system Modeling of Neurons,” in Proc. Visualization in Biomedical Computing. SPIE, 2359 pp. 693–705, 1994.
K. Mulchandani and B. McCormick, “A Framework for Modeling Neuron Morphology,” Computational Neuroscience: Trends in Research 1995, J. Bower ed. San Diego, CA: Academic Press, Inc, 1996. pp. 453–458.
K. Mulchandani, “Morphological Modeling of Neurons,” Masters thesis, Department of Computer Science, Texas AandM University, 1995.
Toga, A, Ambach, K, and Schluender, S, “High-resolution anatomy from in situ human brain,” NeuroImage, vol. 1, pp. 334–344, 1994.
P. Dierckx, Curve and Surface Fitting with Splines, Oxford, England: Oxford University Press, 1995.
D. Amaral and M. Witter, “Hippocampal Formation,” The Rat Nervous System, G. Paxinos ed., San Diego, CA: Academic Press, Inc, 1995.
D. Batte, “Finite Element Decomposition and Grid Generation for Brain Modeling and Visualization,” Masters thesis, Department of Computer Science, Texas AandM University, May, 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media New York
About this chapter
Cite this chapter
Batte, D.A., McCormick, B.H. (1997). Grid Generation for Brain Visualization at the Cellular and Tissue Level. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_140
Download citation
DOI: https://doi.org/10.1007/978-1-4757-9800-5_140
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-9802-9
Online ISBN: 978-1-4757-9800-5
eBook Packages: Springer Book Archive