Title | ||
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New linear transforms for data on a Fourier 2-sphere with application to diffusion MRI. |
Abstract | ||
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This paper describes a new family of linear transforms for data restricted to the surface of a 2-sphere in three-dimensional Fourier space. These transforms generalize the existing Funk-Radon Transform, which has previously been used with great success to extract microstructural tissue orientation information from high angular resolution magnetic resonance diffusion imaging data. Several properties of the new transforms are described, and computationally efficient implementations are derived using spherical harmonic basis functions. A special case from this family, called the Funk-Radon and Cosine Transform, is introduced and evaluated. The method is illustrated with simulated and real diffusion weighted MRI data. |
Year | DOI | Venue |
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2012 | 10.1109/ISBI.2012.6235569 | ISBI |
Keywords | Field | DocType |
Fourier transforms,biodiffusion,biological tissues,biomedical MRI,feature extraction,image resolution,medical image processing,Fourier 2-sphere transforms,Funk-Radon Transform,cosine transform,feature extraction,high angular resolution magnetic resonance diffusion imaging data,linear data transforms,microstructural tissue orientation information,real diffusion weighted MRI data,simulated diffusion weighted MRI data,spherical harmonic basis functions,three-dimensional Fourier space,Diffusion Magnetic Resonance Imaging,Funk-Radon and Cosine Transform,Orientation Distribution Functions,q-Space | Computer vision,Harmonic wavelet transform,Computer science,Discrete cosine transform,Fourier transform,Harmonic analysis,Artificial intelligence,Hartley transform,Fractional Fourier transform,Sine and cosine transforms,Phase correlation | Conference |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
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Justin P. Haldar | 1 | 350 | 35.40 |
Richard M Leahy | 2 | 1768 | 295.29 |