Volume 33 #2

Contents

1. Computation of eye optics of the cetacean’s eye
2. Neurophysiological mechanisms of two sequential orientations comparison in working memory
3. Contribution of the marginal peripheral retina to color constancy: Evidence obtained due to contact lens with implanted occluder
4. Contribution of the spectral and temporal mechanisms to analysis of complex sound signals
5. Role of the donor of NO molecules in regulation of primary sensory neuron responses
6. Identity documents forgery detection with mobile devices
7. Transient processes of visual evoked potentials in the tasks of human-computer interfaces
8. Algebraic reconstruction in case of limited GPU memory in the task of computed tomography
9. New criteria for neural network encoder learning in the string segmentation problem

In this paper, we consider the problem of computed tomography and usage of the algebraic method in the case when GPU memory is not enough to process the entire projection data. This can happen if we use the algebraic method to cone beam gathered projection data. We state the optimization task for reconstructing the volume part by part, we also describe volume to parts division method and show how to overcome memory requirements in the task of full volume reconstruction. We also provide the comparison of reconstructions with different algorithms: reconstruction of the entire volume as a whole and part by part reconstruction.

Key words: tomographic reconstruction, cone beam measurement, iterative reconstruction, graphics processing unit, Random Access Memory capacityr

DOI: 10.1134/S0235009219020021

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