Application of nonlinear voxel distribution grid for computational speed-up for linear tomosynthesis reconstruction

D. G. Kovtun; E. B. Gorbunova; A. A. Alikhanov; A. M. Apekov; A. O. Belyaev; A. S. Boldyreff; A. V. Ugolkov

doi:10.1117/12.2513308

9 October 2018 Application of nonlinear voxel distribution grid for computational speed-up for linear tomosynthesis reconstruction

D. G. Kovtun, E. B. Gorbunova, A. A. Alikhanov, A. M. Apekov, A. O. Belyaev, A. S. Boldyreff, A. V. Ugolkov

Author Affiliations +

Proceedings Volume 10796, Electro-Optical Remote Sensing XII; 107960G (2018) https://doi.org/10.1117/12.2513308
Event: SPIE Security + Defence, 2018, Berlin, Germany

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.

Citation Download Citation

D. G. Kovtun, E. B. Gorbunova, A. A. Alikhanov, A. M. Apekov, A. O. Belyaev, A. S. Boldyreff, and A. V. Ugolkov "Application of nonlinear voxel distribution grid for computational speed-up for linear tomosynthesis reconstruction", Proc. SPIE 10796, Electro-Optical Remote Sensing XII, 107960G (9 October 2018); https://doi.org/10.1117/12.2513308

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