Introduction of total variation regularization into filtered backprojection algorithm
Abstract
In this paper we extend the state-of-the-art filtered backprojection (FBP) method with application of the concept of Total Variation regularization. We compare the performance of the new algorithm with the most common form of regularizing in the FBP image reconstruction via apodizing functions. The methods are validated in terms of cross-correlation coefficient between reconstructed and real image of radioactive tracer distribution using standard Derenzo-type phantom. We demonstrate that the proposed approach results in higher cross-correlation values with respect to the standard FBP method.
Cite
@article{arxiv.1711.00365,
title = {Introduction of total variation regularization into filtered backprojection algorithm},
author = {L. Raczyński and W. Wiślicki and K. Klimaszewski and W. Krzemień and P. Kowalski and R. Shopa and P. Białas and C. Curceanu and E. Czerwiński and K. Dulski and A. Gajos and B. Głowacz and M. Gorgol and B. Hiesmayr and B. Jasińska and D. Kisielewska-Kamińska and G. Korcyl and T. Kozik and N. Krawczyk and E. Kubicz and M. Mohammed and M. Pawlik-Niedźwiecka and S. Niedźwiecki and M. Pałka and Z. Rudy and N. G. Sharma and S. Sharma and M. Silarski and M. Skurzok and A. Wieczorek and B. Zgardzińska and M. Zieliński and P. Moskal},
journal= {arXiv preprint arXiv:1711.00365},
year = {2017}
}
Comments
Presented at the 2nd Jagiellonian Symposium on Fundamental and Applied Subatomic Physics, Krak\'ow, Poland, June 4-9, 2017. To be published in Acta Phys. Pol. B