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Descripción
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| Diffusion-weighted Magnetic Resonance imaging is sensitive to self¿ diffusion of water molecules, which in turn is influenced by tissue geometry and composition. Recent models have attempted to relate the former to the latter, by including microstructural properties such as axonal radius in the signal equation, but the orientation of the axonal bundles was assumed to be known a priori. This restriction limits the application of such models to locations where white matter orientation is well defined, such as in the spinal cord. We present an extension of a previously proposed model that includes directional heterogeneity in the dis- tribution of axonal orientations, using a spherical harmonic decomposition. We prove on simulations the feasibility of estimating the model parameters, includ- ing axonal radius, both in directionally homogenous and heterogeneous tissue configurations. | |
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Internacional
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Si |
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Entidad
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MICCAI |
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Lugar
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New York, USA |
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Páginas
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7 |
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Referencia/URL
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MICCAI 2008 Workshop on Computational Diffusion MRI (eds. D. Alexander, J. Gee, R. Whitaker), pp. 2-8. http://www.picsl.upenn.edu/cdmri08/proceedings.pdf |
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Tipo de publicación
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Acta de congreso internacional |