THE CHANCES OF PRECISION ENHANCE FOR ULTRASONIC IMAGING
Tomasz Rymarczyk
tomasz@rymarczyk.com1Research 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 decompositionReferences
Bartušek K., Fiala P., Mikulka J.: Numerical Modeling of Magnetic Field Deformation as Related to Susceptibility Measured with an MR System. Radioengineering 17(2)/2008, 113–118.
Google Scholar
Bartušek K., Drexler P., Fiala P. et al.: Magnetoinductive Lens for Experimental Mid-field MR Tomograph. Progress in Electromagnetics Research Symposium Location: Cambridge 2010, 1047–1050.
Google Scholar
Dušek J., Hladký D., Mikulka J.: Electrical Impedance Tomography Methods and Algorithms Processed with a GPU. PIERS Proceedings (Spring) 2017, 1710–1714.
Google Scholar
Gorodinitsky I.F., George J.S., Rao B.D.: Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm. Clinical Neurophysiology 95/1995, 231–251.
Google Scholar
Göcke L: PiCUS Sonic Tomograph Software Manual, Argus Electronic Gmbh, Erich-Schlesinger-Straße 49d, 18059 Rostock, Germany, 2017, www.argus-electronic.de.
Google Scholar
Kak A.C., Slaney M.: Principles of Computerized Tomographic Imaging. IEEE Press, New York 1999.
Google Scholar
Kłosowski G., Rymarczyk T.: Using Neural Networks and Deep Learning Algorithms in Elecrical Impedance Tomography. Informatyka, Automatyka Pomiary w Gospodarce i Ochronie Środowiska (IAPGOŚ) 3/2017, 99–102.
Google Scholar
Koulountzios P., Rymarczyk T., Soleimani M.: Ultrasonic Tomography for automated material inspection in liquid masses. 9th World Congress on Industrial Process Tomography, Bath, Great Britain, 2–6 September 2018.
Google Scholar
Lawson Ch.L., Hanson R.J.: Solving Least Squares Problems. Classics in Applied Mathematics 15/1998.
Google Scholar
Łopato P.: Detekcja i identyfikacja defektów struktur dielektrycznych i kompozytowych z wykorzystaniem fal elektromagnetycznych w zakresie terahercowym. Wydawnictwo Uczelniane Zachodniopomorskiego Uniwersytetu Technologicznego w Szczecinie, Szczecin 2018.
Google Scholar
Marcon P. et al.: Magnetic susceptibility measurement using 2D magnetic resonance imaging. Measurement Science and Technology, 2011, 22.10: 105702.
Google Scholar
Mikulka J.: GPU–Accelerated Reconstruction of T2 Maps in Magnetic Resonance Imaging. Measurement Science Review 4/2015, 210–218.
Google Scholar
Yang M., Schlaberg H.I., Hoyle B.S., Beck M.S., Lenn C.: Real-Time Ultrasound Process Tomography for Two-Phase Flow Imaging Using a Reduced Number of Transducers. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 46(3)/1999.
Google Scholar
Polakowski K., Filipowicz S.F., Sikora J., Rymarczyk T.: Quality of imaging in multipath tomography. Przeglad Elektrotechniczny 85(12)/2009, 134–136.
Google Scholar
Rymarczyk T., Sikora J., Waleska B.: Coupled Boundary Element Method and Level Set Function for Solving Inverse Problem in EIT. 7th World Congress on Industrial Process Tomography WCIPT7 2013, 312–319.
Google Scholar
Rymarczyk T., Sikora J., Polakowski K., Adamkiewicz P.: Efektywny algorytm obrazowania w tomografii ultradźwiękowej i radiowej dla zagadnień dwuwymiarowych. Przegląd Elektrotechniczny 94(6)/2018.
Google Scholar
Rymarczyk T. et al.: Sposób i układ do prowadzenia pomiarów w elektrycznej tomografii pojemnościowej. Zgłoszenie patentowe P.418304 z dnia 12.08.2016.
Google Scholar
Smolik W.: Forward Problem Solver for Image Reconstruction by Nonlinear Optimization in Electrical Capacitance Tomography. Flow Measurement and Instrumentation 21/2010, 70–77.
Google Scholar
Soleimani M., Mitchell C.N., Banasiak R., Wajman R., Adler A.: Four-dimensional electrical capacitance tomography imaging using experimental data. Progress in Electromagnetics Research 90/2009, 171–186.
Google Scholar
http://www.mathworks.com/products/matlab/ (June 2018).
Google Scholar
Authors
Tomasz Rymarczyktomasz@rymarczyk.com
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin Poland
Authors
Jan SikoraResearch and Development Center, Netrix S.A., Lublin Poland
Authors
Przemysław AdamkiewiczResearch and Development Center, Netrix S.A., Lublin Poland
Authors
Piotr BożekResearch and Development Center, Netrix S.A., Lublin Poland
Authors
Michał GołąbekResearch and Development Center, Netrix S.A., Lublin Poland
Statistics
Abstract views: 227PDF downloads: 139
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Grzegorz Kłosowski, Tomasz Rymarczyk, USING NEURAL NETWORKS AND DEEP LEARNING ALGORITHMS IN ELECTRICAL IMPEDANCE TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 3 (2017)
- Tomasz Rymarczyk, Tomasz Cieplak, Grzegorz Kłosowski, Paweł Rymarczyk, DESIGN OF DATA ANALYSIS SYSTEMS FOR BUSINESS PROCESS AUTOMATION , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 3 (2018)
- Dominik Gnaś, Przemysław Adamkiewicz, INDOOR LOCALIZATION SYSTEM USING UWB , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 1 (2022)
- Tomasz Rymarczyk, Michał Gołąbek, Piotr Lesiak, Andrzej Marciniak, Mirosław Guzik, CONSTRUCTION OF AN ULTRASONIC TOMOGRAPH FOR ANALYSIS OF TECHNOLOGICAL PROCESSES IN THE FIELD OF REFLECTION AND TRANSMISSION WAVES , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Tomasz Rymarczyk, Grzegorz Kłosowski, THE USE OF ARTIFICIAL INTELLIGENCE IN AUTOMATED IN-HOUSE LOGISTICS CENTRES , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 1 (2018)
- Tomasz Rymarczyk, Bartek Przysucha, Marcin Kowalski, Piotr Bednarczuk, ANALYSIS OF DATA FROM MEASURING SENSORS FOR PREDICTION IN PRODUCTION PROCESS CONTROL SYSTEMS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Tomasz Rymarczyk, Krzysztof Polakowski, Jan Sikora, A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 9 No. 4 (2019)
- Konrad Niderla, Tomasz Rymarczyk, Jan Sikora, MANUFACTURING PLANNING AND CONTROL SYSTEM USING TOMOGRAPHIC SENSORS , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 8 No. 3 (2018)
- Tomasz Rymarczyk, Jan Sikora, SINGULAR INTEGRATION IN BOUNDARY ELEMENT METHOD FOR HELMHOLTZ EQUATION FORMULATED IN FREQUENCY DOMAIN , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 11 No. 4 (2021)
- Grzegorz Kłosowski, Tomasz Rymarczyk, APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS IN WALL MOISTURE IDENTIFICATION BY EIT METHOD , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 12 No. 1 (2022)