Abstract:
We developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere...Show MoreMetadata
Abstract:
We developed two different techniques to study volume mapping problem in Computer Graphics. The first one is to find a harmonic map from a 3 manifold to a 3D solid sphere and the second is a sphere carving algorithm which calculates the simplicial decomposition of volume adapted to surfaces. In this paper, we apply these two techniques to brain mapping problem. We use a tetrahedral mesh to represent the brain volume. The experimental results on both synthetic and brain volume data are reported. We suggest that 3D harmonic mapping of brain volumes to a solid sphere can provide a canonical coordinate system for feature identification and segmentation, as well as anatomical normalization.
Published in: 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)
Date of Conference: 18-18 April 2004
Date Added to IEEE Xplore: 07 March 2005
Print ISBN:0-7803-8388-5
Citations are not available for this document.
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Cites in Papers - IEEE (2)
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1.
Bo Li, Xin Li, Kexiang Wang, Hong Qin, "Surface Mesh to Volumetric Spline Conversion with Generalized Polycubes", IEEE Transactions on Visualization and Computer Graphics, vol.19, no.9, pp.1539-1551, 2013.
2.
Kexiang Wang, Xin Li, Bo Li, Huanhuan Xu, Hong Qin, "Restricted Trivariate Polycube Splines for Volumetric Data Modeling", IEEE Transactions on Visualization and Computer Graphics, vol.18, no.5, pp.703-716, 2012.
Cites in Papers - Other Publishers (1)
1.
Gilles-Philippe Paille, Pierre Poulin, "As-conformal-as-possible discrete volumetric mapping", Computers & Graphics, vol.36, no.5, pp.427, 2012.
