Presentation 2012-01-19
MPG Reduction for Effective Diffusion MR Imaging Based on L1-norm Regularization
Kazunari IWAMOTO, Hidekata HONTANI, Yoshitaka MASUTANI,
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Abstract(in English) The high angular resolution diffusion imaging (HARDI) captures high angular-resolution 3D images of diffusion MR imaging by changing the direction of the motion probing gradient (MPG), along which the strength of water diffusion is mesured. The problem here is that the capturing process is time consuming when many MPGs are applied for making the angular resolution higher. In this article, we propose a method for decreasing the number of MPG directions with keeping the angular resolution higher. Limiting the target to pyramidal tracts, we obtain an optimal set of MPG directions that can realize high angular resolution with small number of the directions. For this purpose, we employ a spherical radial basis functions (SRBF) for interpolating the measurements and obtains the set of MPG directions by minimizing the residuals between the training measurements and the interpolated ones with sparseness regularization. The performance of the proposed method is demonstrated by simulation experiments and by clinical image ones.
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Keyword(in English) diffusion MRI / High Angular Resolution Diffusion Imaging / HARDI / combination optimization
Paper # MI2011-83
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Committee MI
Conference Date 2012/1/12(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) MPG Reduction for Effective Diffusion MR Imaging Based on L1-norm Regularization
Sub Title (in English)
Keyword(1) diffusion MRI
Keyword(2) High Angular Resolution Diffusion Imaging
Keyword(3) HARDI
Keyword(4) combination optimization
1st Author's Name Kazunari IWAMOTO
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Hidekata HONTANI
2nd Author's Affiliation Nagoya Institute of Technology
3rd Author's Name Yoshitaka MASUTANI
3rd Author's Affiliation The University of Tokyo Hospital
Date 2012-01-19
Paper # MI2011-83
Volume (vol) vol.111
Number (no) 389
Page pp.pp.-
#Pages 6
Date of Issue