THE CHANCES OF PRECISION ENHANCE FOR ULTRASONIC IMAGING

Tomasz Rymarczyk

tomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin (Poland)

Jan Sikora


Research and Development Center, Netrix S.A., Lublin (Poland)

Przemysław Adamkiewicz


Research and Development Center, Netrix S.A., Lublin (Poland)

Piotr Bożek


Research and Development Center, Netrix S.A., Lublin (Poland)

Michał Gołąbek


Research and Development Center, Netrix S.A., Lublin (Poland)

Abstract

The results of ultrasonic imaging with the aid of an algorithm with the virtual rays is presented in this paper. The signal associated with the virtual rays is calculated as an arithmetical mean value of the signals of the rays surrounding the virtual one. Developed algorithm was tested on synthetic free noise data then polluted synthetic data in order to move for the real measurements. Conclusions about the imaging with new algorithm are not obvious. In same cases the significant improvement was achieved but in some not.


Keywords:

ultrasound tomography, inverse problems, singular value decomposition

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Published
2018-09-25

Cited by

Rymarczyk, T., Sikora, J., Adamkiewicz, P., Bożek, P., & Gołąbek, M. (2018). THE CHANCES OF PRECISION ENHANCE FOR ULTRASONIC IMAGING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(3), 19–24. https://doi.org/10.5604/01.3001.0012.5277

Authors

Tomasz Rymarczyk 
tomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland

Authors

Jan Sikora 

Research and Development Center, Netrix S.A., Lublin Poland

Authors

Przemysław Adamkiewicz 

Research and Development Center, Netrix S.A., Lublin Poland

Authors

Piotr Bożek 

Research and Development Center, Netrix S.A., Lublin Poland

Authors

Michał Gołąbek 

Research and Development Center, Netrix S.A., Lublin Poland

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