Thanks to the multiscale approach and denoising at different resolution levels, our ODF sharpening technique performs quite well, even at maximum SH order of ...
We reconstruct the orientation distribution function (ODF), by incorporating a spherical wavelet transform (SWT) into the Funk–Radon transform.
Feb 1, 2010 · We demonstrate the algorithm efficiency in diffusion ODF denoising and sharpening that is of particular importance for applications to fiber ...
We demonstrate the algorithm efficiency in diffusion ODF denoising and sharpening that is of particular importance for applications to fiber tracking ( ...
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We demonstrate the algorithm efficiency in diffusion ODF denoising and sharpening that is of particular importance for applications to fiber tracking ( ...
The choice of local HARDI reconstruction technique is crucial for discerning multiple fiber orientations, which is itself of substantial importance for ...
Jun 20, 2024 · The authors demonstrate that the ridgelet generating function is the Funk–Radon transform of the spherical wavelet scaling function. ...
We propose to denoise and sharpen the orientation distribution function (ODF) directly [8]. The algorithm that we employ is based on the spherical version of “à ...
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A transform (with full rank T) is a change of basis. ▫ Definition: A basis on a vector space is a set of linearly independent vectors that are able to.