A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY

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DOI

Tomasz Rymarczyk

tomasz@rymarczyk.com

http://orcid.org/0000-0002-3524-9151
Krzysztof Polakowski

kp@zkue.ime.pw.edu.pl

http://orcid.org/0000-0002-2301-4910
Jan Sikora

sik59@wp.pl

http://orcid.org/0000-0002-9492-5818

Abstract

In this paper a new version of discretization model for Ultrasonic Transmission Tomography is presented. The algorithm has been extensively tested for synthetic noisy data on various configurations of internal objects. In order to improve the imaging quality, the pixels/voxels have been enlarged compared to the figures inscribed in pixels/voxels however no more than figures described on the standard square pixels or cubic voxels. The proposed algorithm provides better quality of imaging.

Keywords:

Ultrasound Transmission Tomography, image reconstruction, constrained optimization, circular pixels, spherical voxels

References

Article Details

Rymarczyk, T., Polakowski, K., & Sikora, J. (2019). A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(4), 48–51. https://doi.org/10.35784/iapgos.131