Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography
Department of Applied Biochemistry, School of Engineering, Tokai University, Kanagawa 259-1292, Japan
The 10th International Conference on X-Ray Microscopy, 2011
@inproceedings{mizutani2011building,
title={Building Human Brain Network in 3D Coefficient Map Determined by X-ray Microtomography},
author={Mizutani, R. and Takeuchi, A. and Uesugi, K. and Takekoshi, S. and Nakamura, N. and Suzuki, Y.},
booktitle={American Institute of Physics Conference Series},
volume={1365},
pages={403–406},
year={2011}
}
X-ray microtomography can visualize 3D structures of biological soft tissues at cellular to subcellular resolution. Such 3D structures are composed of a great number of cells and extracellular matrices that should be assigned separately as tissue constituents. Here, we report a method for building a skeletonized model of the human brain network in a 3D distribution map of linear absorption coefficients determined by microtomography. The 3D models of neurons were automatically built by using a Sobel filter and manually edited via a graphical interface. The simplification of the 3D coefficient map facilitates understanding of microtomographic structures composed of huge numbers of voxels. We suggest that x-ray microtomography along with model building in the 3D coefficient map is a potential method for understanding 3D microstructures relevant to biological functions, like x-ray crystallography in molecular biology.
December 30, 2011 by hgpu
