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Proceedings Paper

Approximating high angular resolution apparent diffusion coefficient profiles using spherical harmonics under biGaussian assumption
Author(s): Ning Cao; Xuwei Liang; Qi Zhuang; Jun Zhang
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Paper Abstract

Magnetic Resonance Imaging (MRI) techniques have achieved much importance in providing visual and quantitative information of human body. Diffusion MRI is the only non-invasive tool to obtain information of the neural fiber networks of the human brain. The traditional Diffusion Tensor Imaging (DTI) is only capable of characterizing Gaussian diffusion. High Angular Resolution Diffusion Imaging (HARDI) extends its ability to model more complex diffusion processes. Spherical harmonic series truncated to a certain degree is used in recent studies to describe the measured non-Gaussian Apparent Diffusion Coefficient (ADC) profile. In this study, we use the sampling theorem on band-limited spherical harmonics to choose a suitable degree to truncate the spherical harmonic series in the sense of Signal-to-Noise Ratio (SNR), and use Monte Carlo integration to compute the spherical harmonic transform of human brain data obtained from icosahedral schema.

Paper Details

Date Published: 27 February 2009
PDF: 8 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 726204 (27 February 2009); doi: 10.1117/12.812944
Show Author Affiliations
Ning Cao, Univ. of Kentucky (United States)
Xuwei Liang, Univ. of Kentucky (United States)
Qi Zhuang, Univ. of Kentucky (United States)
Jun Zhang, Univ. of Kentucky (United States)

Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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