Proceedings Paper
Application of nonlinear voxel distribution grid for computational speed-up for linear tomosynthesis reconstruction| Format | Member Price | Non-Member Price |
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Paper Abstract
The research focuses on considering the possibility of computational speedup during image reconstruction based on the SART algorithm through application of the nonlinear voxel grid. Motion scheme of linear tomosynthesis served as foundation, with a non-linear voxel grid being used in the reconstruction area.
The proposed method allows calculating the coefficients of the SART system matrix for only 2 planes, thus significantly reducing the computation time (up to 6-fold). Besides that, the amount of data stored decreases (approximately 295 times). This method allows performing parallel computations for each vertical layer in the reconstruction area, which provides a 10-fold gain in reconstruction rate.
Paper Details
Date Published: 9 October 2018
PDF: 6 pages
Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960G (9 October 2018); doi: 10.1117/12.2513308
Published in SPIE Proceedings Vol. 10796:
Electro-Optical Remote Sensing XII
Gary Kamerman; Ove Steinvall, Editor(s)
PDF: 6 pages
Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960G (9 October 2018); doi: 10.1117/12.2513308
Show Author Affiliations
D. G. Kovtun, Southern Federal Univ. (Russian Federation)
E. B. Gorbunova, Southern Federal Univ. (Russian Federation)
A. A. Alikhanov, Applied Mathematics and Automation Institute of the Kabardin-Balkar Scientific Ctr. (Russian Federation)
A. M. Apekov, Applied Mathematics and Automation Institute of the Kabardin-Balkar Scientific Ctr. (Russian Federation)
E. B. Gorbunova, Southern Federal Univ. (Russian Federation)
A. A. Alikhanov, Applied Mathematics and Automation Institute of the Kabardin-Balkar Scientific Ctr. (Russian Federation)
A. M. Apekov, Applied Mathematics and Automation Institute of the Kabardin-Balkar Scientific Ctr. (Russian Federation)
A. O. Belyaev, Southern Federal Univ. (Russian Federation)
A. S. Boldyreff, Southern Federal Univ. (Russian Federation)
A. V. Ugolkov, Southern Federal Univ. (Russian Federation)
A. S. Boldyreff, Southern Federal Univ. (Russian Federation)
A. V. Ugolkov, Southern Federal Univ. (Russian Federation)
Published in SPIE Proceedings Vol. 10796:
Electro-Optical Remote Sensing XII
Gary Kamerman; Ove Steinvall, Editor(s)
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