DETERMINATION OF THE OPTIMAL SCANNING STEP FOR EVALUATION OF IMAGE RECONSTRUCTION QUALITY IN MAGNETOACOUSTIC TOMOGRAPHY WITH MAGNETIC INDUCTION
Adam Ryszard Zywica
adam.zywica@zut.edu.plWest Pomeranian University of Technology, Szczecin, Faculty of Electrical Engineering, Department of Electrical and Computer Engineering (Poland)
http://orcid.org/0000-0003-2598-0052
Marcin Ziolkowski
West Pomeranian University of Technology, Szczecin, Faculty of Electrical Engineering, Department of Electrical and Computer Engineering (Poland)
http://orcid.org/0000-0002-2773-2565
Abstract
Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new hybrid imaging modality especially dedicated for non-invasive electrical conductivity imaging of low-conductivity objects such as e.g. biological tissues. The purpose of the present paper is to determine the optimal scanning step assuring the best quality of image reconstruction. In order to resolve this problem a special image reconstruction quality indicator based on binarization has been applied. Taking into account different numbers of measuring points and various image processing algorithms, the conditions allowing successful image reconstruction have been provided in the paper. Finally, the image reconstruction examples for objects’ complex shapes have been analyzed.
Keywords:
image reconstruction, image processing algorithms, medical diagnostic imaging, magnetoacoustic effects, magnetoacoustic tomography with magnetic inductionReferences
Baudrier E., Nicolier F., Millon G., Ruan S.: Binary-image comparison with local dissimilarity quantification. Pattern Recognition 41/2008, 1461–1478, [doi:10.1016/j.patcog.2007.07.011].
DOI: https://doi.org/10.1016/j.patcog.2007.07.011
Google Scholar
Bourke. P.: Cross Correlation. Auto Correlation and 2D Pattern Identification. Research Paper. Oxford University, Oxford 1996.
Google Scholar
Fastowicz J., Bąk D., Mazurek P., Okarma K.: Estimation of Geometrical Deformation of 3D Prints Using Local Cross-Correlation and Monte Carlo Sampling. Advances in Intelligent Systems and Computing 681/2018 [DOI: 10.1007/978-3-319-68720-9_9].
DOI: https://doi.org/10.1007/978-3-319-68720-9_9
Google Scholar
Lech P., Okarma K.: Optimization of the Fast Image Binarisation Method Based on the Monte Carlo Approach. Elektronika ir Elektrotechnika 20/2014, 63–66 [DOI: 10.5755/j01.eee.20.4.6887].
DOI: https://doi.org/10.5755/j01.eee.20.4.6887
Google Scholar
Li X., Yu K., He B.: Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: a tutorial review. Physics in Medicine & Biology 61/2016, 249–270 [DOI: 10.1088/0031-9155/61/18/R249].
DOI: https://doi.org/10.1088/0031-9155/61/18/R249
Google Scholar
Michalak. H., Okarma K.: Region Based Approach for Binarisation of Degraded Document Images. Advances in Soft and Hard Computing 889/2019, 433–444 [DOI: 10.1007/978-3-030-03314-9_37].
DOI: https://doi.org/10.1007/978-3-030-03314-9_37
Google Scholar
Rymarczyk T., Kłosowski G., Kozłowski E.: A non-destructive system based on electrical tomography and machine learning to analyze the moisture of buildings. Sensors 18(7)/2018, 2285 [DOI: 10.3390/s18072285].
DOI: https://doi.org/10.3390/s18072285
Google Scholar
Stawicki K., Gratkowski S., Komorowski M., Pietrusewicz T.: A new transducer for magnetic induction tomography. IEEE Transactions on Magnetics 45/2009, 1832–1835 [DOI: 10.1109/TMAG.2009.2012799].
DOI: https://doi.org/10.1109/TMAG.2009.2012799
Google Scholar
Wang Z., Sheikh H. R., Bovik A.: Objective video quality assessment. Chapter 41 in The Handbook of Video Databases: Design and Application, Furht B. and Marqure O., CRC Press 2003, 1041–1078.
Google Scholar
Zywica A. R.,: Magnetoacoustic tomography with magnetic induction for biological tissue imaging: numerical modelling and simulations. Archives of Electrical Engineering 65(1)/2015, 141–150 [DOI: 10.1515/aee-2016-0011].
DOI: https://doi.org/10.1515/aee-2016-0011
Google Scholar
Authors
Adam Ryszard Zywicaadam.zywica@zut.edu.pl
West Pomeranian University of Technology, Szczecin, Faculty of Electrical Engineering, Department of Electrical and Computer Engineering Poland
http://orcid.org/0000-0003-2598-0052
Authors
Marcin ZiolkowskiWest Pomeranian University of Technology, Szczecin, Faculty of Electrical Engineering, Department of Electrical and Computer Engineering Poland
http://orcid.org/0000-0002-2773-2565
Marcin Ziolkowski received M.Sc., Ph.D. and D.Sc. (Habilitation) degrees in Electrical Engineering from the Szczecin University of Technology, Szczecin, Poland and West Pomeranian University of Technology, Szczecin, Poland in 2001, 2006 and 2012, respectively. Since 2008, he has been working with the Department of Electrical and Computer Engineering, Electrical Engineering Faculty, West Pomeranian University of Technology, Szczecin, Poland. His main research interests include numerical calculations and visualization of EM fields, inverse problems, electromagnetic field shielding and non-destructive testing of materials.
Statistics
Abstract views: 282PDF downloads: 184
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Most read articles by the same author(s)
- Beata Szuflitowska, Marcin Ziolkowski, Krzysztof Stawicki, NUMERICAL ASPECTS OF THE SECONDARY MAGNETIC FIELD MAPPING IN MAGNETIC INDUCTION TOMOGRAPHY , Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska: Vol. 7 No. 3 (2017)
