{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T20:34:27Z","timestamp":1780518867850,"version":"3.54.1"},"reference-count":121,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T00:00:00Z","timestamp":1647388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>With the ongoing digitalization of industry, imaging sensors are becoming increasingly important for industrial process control. In addition to direct imaging techniques such as those provided by video or infrared cameras, tomographic sensors are of interest in the process industry where harsh process conditions and opaque fluids require non-intrusive and non-optical sensing techniques. Because most tomographic sensors rely on complex and often time-multiplexed excitation and measurement schemes and require computationally intensive image reconstruction, their application in the control of highly dynamic processes is often hindered. This article provides an overview of the current state of the art in fast process tomography and its potential for use in industry.<\/jats:p>","DOI":"10.3390\/s22062309","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T22:15:04Z","timestamp":1647468904000},"page":"2309","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7371-0148","authenticated-orcid":false,"given":"Uwe","family":"Hampel","sequence":"first","affiliation":[{"name":"Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstra\u00dfe 400, 01328 Dresden, Germany"},{"name":"Institute of Power Engineering, Technische Universit\u00e4t Dresden, 01062 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3048-6924","authenticated-orcid":false,"given":"Laurent","family":"Babout","sequence":"additional","affiliation":[{"name":"Institute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1234-4949","authenticated-orcid":false,"given":"Robert","family":"Banasiak","sequence":"additional","affiliation":[{"name":"Institute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eckhard","family":"Schleicher","sequence":"additional","affiliation":[{"name":"Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstra\u00dfe 400, 01328 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manuchehr","family":"Soleimani","sequence":"additional","affiliation":[{"name":"Engineering Tomography Lab (ETL), Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6072-3794","authenticated-orcid":false,"given":"Thomas","family":"Wondrak","sequence":"additional","affiliation":[{"name":"Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstra\u00dfe 400, 01328 Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marko","family":"Vauhkonen","sequence":"additional","affiliation":[{"name":"Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Timo","family":"L\u00e4hivaara","sequence":"additional","affiliation":[{"name":"Department of Applied Physics, University of Eastern Finland, P.O. 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(1996). Radiological Imaging: The Theory of Image Formation, Detection, and Processing, Academic Press. [1st ed.]."},{"key":"ref_2","unstructured":"(2017). Non-Destructive Testing\u2014Radiation Methods for Computed Tomography\u2014Part 2: Principles, Equipment and Samples (Standard No. ISO 15708-2:2017)."},{"key":"ref_3","unstructured":"Beck, M.S., and Williams, R. (1995). Process Tomography: Principles, Techniques and Applications, Butterworth-Heinemann."},{"key":"ref_4","unstructured":"Wang, M. (2022). Industrial Process Tomography\u2014Systems and Applications, Elsevier-Woodhead Publishing. [2nd ed.]."},{"key":"ref_5","unstructured":"Scott, D.M., and McCann, H. (2005). Process Imaging for Automatic Control, CRC Press-Taylor & Francis."},{"key":"ref_6","first-page":"20150328","article-title":"Super-sensing technology: Industrial applications and future challenges of electrical tomography","volume":"374","author":"Wei","year":"2016","journal-title":"Phys. Eng. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.flowmeasinst.2018.12.002","article-title":"Identification of horizontal slug flow structures for application in selective cross-correlation metering","volume":"66","author":"Drury","year":"2019","journal-title":"Flow Meas. Instrum."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Sattar, M.A., Garcia, M.M., Banasiak, R., Portela, L.M., and Babout, L. (2020). Electrical resistance tomography for control applications: Quantitative study of the gas-liquid distribution inside a cyclone. Sensors, 20.","DOI":"10.3390\/s20216069"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Rymarczyk, T., K\u0142osowski, G., Ho\u0142a, A., Sikora, J., Wo\u0142owiec, T., Tch\u00f3rzewski, P., and Skowron, S. (2021). Comparison of machine learning methods in electrical tomography for detecting moisture in building walls. Energies, 14.","DOI":"10.3390\/en14102777"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"18101","DOI":"10.1109\/JSEN.2021.3085762","article-title":"Electrical capacitance tomography to measure moisture distribution of polymer foam in a microwave drying process","volume":"21","author":"Hosseini","year":"2021","journal-title":"IEEE Sens. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"8146","DOI":"10.1109\/JSEN.2017.2714686","article-title":"Visualization of gas-oil-water flow in horizontal pipeline using dual-modality electrical tomographic systems","volume":"17","author":"Wang","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.flowmeasinst.2007.07.008","article-title":"Engineering and application of a dual-modality process tomography system","volume":"18","author":"Qiu","year":"2007","journal-title":"Flow Meas. Instrum."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.flowmeasinst.2009.12.002","article-title":"A novel tomographic sensing system for high electrically conductive multiphase flow measurement","volume":"21","author":"Jia","year":"2010","journal-title":"Flow Meas. Instrum."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1109\/TIM.2018.2884548","article-title":"Gas-liquid flow pattern analysis based on graph connectivity and graph-variate dynamic connectivity of ERT","volume":"68","author":"Tan","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"8107","DOI":"10.1109\/JSEN.2017.2744985","article-title":"Gain adjustment for signal-to-noise ratio improvement in electrical capacitance tomography system EVT4","volume":"17","author":"Kryszyn","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.nucengdes.2014.07.023","article-title":"Image reconstruction using voltage-current system in electrical impedance tomography","volume":"278","author":"Kim","year":"2014","journal-title":"Nucl. Eng. Des."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1109\/TIM.2013.2246912","article-title":"A novel electrical resistance tomography system based on C4D technique","volume":"62","author":"Wang","year":"2013","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wajman, R., Banasiak, R., and Babout, L. (2020). On the use of a rotatable ect sensor to investigate dense phase flow: A feasibility study. Sensors, 20.","DOI":"10.3390\/s20174854"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"219","DOI":"10.2528\/PIER09111201","article-title":"Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model","volume":"100","author":"Banasiak","year":"2010","journal-title":"Prog. Electromagn. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1890","DOI":"10.3390\/s100301890","article-title":"Electrical capacitance volume tomography: Design and applications","volume":"10","author":"Wang","year":"2010","journal-title":"Sensors"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"115311","DOI":"10.1016\/j.applthermaleng.2020.115311","article-title":"Application of electrical capacitance tomography in circulating fluidised beds\u2014A review","volume":"176","author":"Wang","year":"2020","journal-title":"Appl. Therm. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"116236","DOI":"10.1016\/j.ces.2020.116236","article-title":"Application of electrical capacitance tomography in pharmaceutical fluidised beds\u2014A review","volume":"231","author":"Wang","year":"2021","journal-title":"Chem. Eng. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"602","DOI":"10.1016\/j.snb.2014.12.103","article-title":"Non-invasive process tomography in chemical mixtures\u2014A review","volume":"210","author":"Wahab","year":"2015","journal-title":"Sens. Actuators B Chem."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1108\/SR-01-2016-0027","article-title":"A review on image reconstruction algorithms for electrical capacitance\/resistance tomography","volume":"36","author":"Cui","year":"2016","journal-title":"Sens. Rev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.flowmeasinst.2015.08.001","article-title":"ITS reconstruction tool-suite: An inverse algorithm package for industrial process tomography","volume":"46","author":"Wei","year":"2015","journal-title":"Flow Meas. Instrum."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Khan, T.A., and Ling, S.H. (2019). Review on electrical impedance tomography: Artificial intel-ligence methods and its applications. Algorithms, 12.","DOI":"10.3390\/a12050088"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1109\/JSEN.2018.2876411","article-title":"Image reconstruction based on convolutional neural network for electrical resistance tomography","volume":"19","author":"Tan","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijmultiphaseflow.2013.07.003","article-title":"Study on two-phase flow regime visualization and identification using 3D electrical capacitance tomography and fuzzy-logic classification","volume":"58","author":"Banasiak","year":"2014","journal-title":"Int. J. Multiph. Flow"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1109\/TII.2018.2855200","article-title":"Big data-driven contextual processing methods for electrical capacitance tomography","volume":"15","author":"Romanowski","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1049\/ip-g-2.1992.0013","article-title":"Tomographic imaging of industrial process equipment\u2014techniques and applications","volume":"139","author":"Dickin","year":"1992","journal-title":"IEE Proc. G-Circuits Devices Syst."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1088\/0957-0233\/12\/8\/324","article-title":"Design and application of a multi-modal process tomography system","volume":"12","author":"Hoyle","year":"2001","journal-title":"Meas. Sci. Technol."},{"key":"ref_32","unstructured":"(2021, December 01). Industrial Tomography Systems, P2+ IPT Instrument. Available online: https:\/\/www.itoms.com\/products\/p2-electrical-resistance-tomography\/."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"094011","DOI":"10.1088\/0957-0233\/19\/9\/094011","article-title":"Wideband electrical impedance tomography","volume":"19","author":"Nahvi","year":"2008","journal-title":"Meas. Sci. Technol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.1109\/JSEN.2009.2030979","article-title":"Electrical impedance spectroscopy sensing for industrial processes","volume":"9","author":"Nahvi","year":"2009","journal-title":"IEEE Sens. J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0955-5986(98)00015-6","article-title":"A new electrode-mesh tomograph for gas-liquid flows","volume":"9","author":"Prasser","year":"1998","journal-title":"Flow Meas. Instrum."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1088\/0957-0233\/18\/7\/059","article-title":"Capacitance wire-mesh sensor for fast measurement of phase fraction distributions","volume":"18","author":"Schleicher","year":"2007","journal-title":"Meas. Sci. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"105302","DOI":"10.1088\/0957-0233\/26\/10\/105302","article-title":"Dual-modality wire-mesh sensor for visualization of multiphase flows","volume":"26","author":"Vendruscolo","year":"2015","journal-title":"Meas. Sci. Technol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1593","DOI":"10.3390\/s130201593","article-title":"Temperature grid sensor for the measurement of spatial temperature distributions","volume":"13","author":"Schubert","year":"2013","journal-title":"Sensors"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Arlit, M., Schleicher, E., and Hampel, U. (2017). Thermal anemometry grid sensor. Sensors, 17.","DOI":"10.3390\/s17071663"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.ijmultiphaseflow.2016.05.017","article-title":"Developments for the application of the wire-mesh sensor in industries","volume":"85","author":"Kipping","year":"2016","journal-title":"Int. J. Multiph. Flow"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.ijmultiphaseflow.2019.05.004","article-title":"Fuzzy flow pattern identification in horizontal air-water two-phase flow based on wire-mesh sensor data","volume":"117","author":"Wiedemann","year":"2019","journal-title":"Int. J. Multiph. Flow"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1002\/cite.201900172","article-title":"Controlled inline fluid separation based on smart process tomography sensors","volume":"92","author":"Sahovic","year":"2020","journal-title":"Chem. Ing. Tech."},{"key":"ref_43","unstructured":"Telford, W.M., Geldart, L.P., Sheri, R.E., and Keys, D.A. (1976). Applied Geophysics, Cambridge University Press. Section 3.5.4."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1088\/0957-0233\/7\/3\/006","article-title":"An overview of electromagnetic inductance tomography: Description of three different systems","volume":"7","author":"Peyton","year":"1996","journal-title":"Meas. Sci. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1088\/0957-0233\/12\/8\/320","article-title":"Imaging molten steel flow profiles","volume":"12","author":"Binns","year":"2001","journal-title":"Meas. Sci. Technol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.flowmeasinst.2010.10.003","article-title":"Electromagnetic inspection of a two-phase flow of GaInSn and argon","volume":"22","author":"Terzija","year":"2011","journal-title":"Flow Meas. Instrum."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"065401","DOI":"10.1088\/1361-6501\/ab6f30","article-title":"In-situ steel solidification imaging in continuous casting using magnetic induction tomography","volume":"31","author":"Soleimani","year":"2020","journal-title":"Meas. Sci. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1088\/0967-3334\/21\/1\/311","article-title":"Magnetic induction tomography: Experimental realization","volume":"21","author":"Korjenevsky","year":"2000","journal-title":"Physiol. Meas."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1088\/0957-0233\/17\/1\/018","article-title":"Hardware and software design for an electromagnetic induction tomography (EMT) system for high contrast metal process applications","volume":"17","author":"Ma","year":"2006","journal-title":"Meas. Sci. Technol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/TMI.2006.884196","article-title":"Absolute conductivity reconstruction in magnetic induction tomography using a nonlinear method","volume":"25","author":"Soleimani","year":"2006","journal-title":"IEEE Trand. Med. Imaging"},{"key":"ref_51","first-page":"4500211","article-title":"Noninvasive conductivity and temperature sensing using magnetic induction spectroscopy imaging","volume":"70","author":"Muttakin","year":"2020","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1088\/0957-0233\/11\/6\/319","article-title":"A contactless method for velocity reconstruction in electrically conducting fluids","volume":"11","author":"Stefani","year":"2000","journal-title":"Meas. Sci. Technol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"056306","DOI":"10.1103\/PhysRevE.70.056306","article-title":"Contactless inductive flow tomography","volume":"70","author":"Stefani","year":"2004","journal-title":"Phys. Rev. E"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"739161","DOI":"10.1155\/2014\/739161","article-title":"Contactless inductive flow tomography: Brief history and recent developments in its application to continuous casting","volume":"2014","author":"Ratajczak","year":"2014","journal-title":"J. Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1366","DOI":"10.1108\/COMPEL-08-2017-0361","article-title":"Singularity consideration in the integral equations for contactless inductive flow tomography","volume":"37","author":"Jacobs","year":"2018","journal-title":"COMPEL-Int. J. Comput. Math. Electr. Electron. Eng."},{"key":"ref_56","unstructured":"World Steel Association (2021). World Steel in Figures 2021, World Steel Association."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"271","DOI":"10.2355\/isijinternational.43.271","article-title":"State of the art in evaluation and control of steel clean-liness","volume":"43","author":"Zhang","year":"2003","journal-title":"ISIJ Int."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1088\/0266-5611\/16\/1\/301","article-title":"On the uniqueness of velocity reconstruction in conducting fluids from measurements of induced electromagnetic fields","volume":"16","author":"Stefani","year":"2000","journal-title":"Inverse Probl."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Wondrak, T., Ratajczak, M., Gundrum, T., Stefani, F., Krauth\u00e4user, H.G., and Jacobs, R.T. (2015, January 16\u201322). Increasing electromagnetic compatibility of contactless inductive flow tomography. Proceedings of the Joint IEEE International Symposium on Electromagnetic Compatibility and EMC Europe (EMC 2015), Dresden, Germany.","DOI":"10.1109\/ISEMC.2015.7256177"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"045402","DOI":"10.1088\/0957-0233\/21\/4\/045402","article-title":"Contactless inductive flow tomography for a model of continuous steel casting","volume":"21","author":"Wondrak","year":"2010","journal-title":"Meas. Sci. Technol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1007\/s11663-011-9553-y","article-title":"Combined Electromagnetic Tomography for Determining Two-phase Flow Characteristics in the Submerged Entry Nozzle and in the Mold of a Continuous Casting Model","volume":"42","author":"Wondrak","year":"2011","journal-title":"Metall. Mater. Trans. B"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"461","DOI":"10.22364\/mhd.51.3.7","article-title":"Numerical and experimental investigation of the contactless inductive flow tomography in the presence of strong static magnetic fields","volume":"51","author":"Ratajczak","year":"2015","journal-title":"Magnetohydrodynamics"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"065902","DOI":"10.1088\/1361-6501\/ab7166","article-title":"Analysis, design and optimization of compact ultra-high sensitivity coreless induction coil sensors","volume":"31","author":"Ratajczak","year":"2020","journal-title":"Meas. Sci. Technol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"20150330","DOI":"10.1098\/rsta.2015.0330","article-title":"A gradiometric version of contactless inductive flow tomography: Theory and first applications","volume":"374","author":"Ratajczak","year":"2016","journal-title":"Philos. Trans. R. Soc. A"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Glavinic, I., Ratajczak, M., Stefani, F., and Wondrak, T. (2020, January 12\u201317). Flow monitoring for continuous steel casting using Contactless Inductive Flow Tomography (CIFT). Proceedings of the IFAC 2020 World Congress, Berlin, Germany.","DOI":"10.1016\/j.ifacol.2020.12.587"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"012023","DOI":"10.1088\/1757-899X\/228\/1\/012023","article-title":"Measurement techniques for liquid metals","volume":"228","author":"Ratajczak","year":"2017","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1118\/1.594595","article-title":"Microwave scattering parameter imagery of an isolated canine kidney","volume":"6","author":"Larsen","year":"1979","journal-title":"Med. Phys."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1998","DOI":"10.1109\/TMTT.1982.1131357","article-title":"Microwave diffraction tomography for biomedical applications","volume":"30","author":"Bolomey","year":"1982","journal-title":"IEEE Trans. Microw. Theory Techn."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/19.836308","article-title":"Microwave near-field reflection property analysis of concrete for material content determination","volume":"49","author":"Bois","year":"2000","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"S100","DOI":"10.1088\/1742-2132\/9\/4\/S100","article-title":"Structural monitoring via microwave tomography-enhanced GPR: The Montagnole test site","volume":"9","author":"Catapano","year":"2012","journal-title":"J. Geophys. Eng."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/JMW.2020.3035790","article-title":"Microwave imaging in security\u2014Two decades of innovation","volume":"1","author":"Ahmed","year":"2021","journal-title":"IEEE J. Microw."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1023\/A:1010118609079","article-title":"Industrial microwave sensors\u2014A review","volume":"1","author":"Nyfors","year":"2000","journal-title":"Subsurf. Sens. Technol. Appl."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1109\/MAP.2017.2731201","article-title":"Microwave tomography for industrial process imaging: Example applications and experimental results","volume":"59","author":"Wu","year":"2017","journal-title":"IEEE Antennas Propag. Mag."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1177\/0142331214546523","article-title":"Developing a microwave tomographic system for multiphase flow imaging: Advances and challenges","volume":"37","author":"Wu","year":"2015","journal-title":"Trans. Inst. Meas. Control."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1351","DOI":"10.1109\/TCI.2020.3022828","article-title":"Estimation of moisture content distribution in porous foam using microwave tomography with neural networks","volume":"6","author":"Yadav","year":"2020","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Yadav, R., Omrani, A., Link, G., Vauhkonen, M., and L\u00e4hivaara, T. (2021). Microwave tomography using neural networks for its application in an industrial microwave drying system. Sensors, 21.","DOI":"10.3390\/s21206919"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Omrani, A., Yadav, R., Link, G., L\u00e4hivaara, T., Vauhkonen, M., and Jelonnek, J. (2021). An electromagnetic time-reversal imaging algorithm for moisture detection in polymer foam in an industrial microwave drying system. Sensors, 21.","DOI":"10.3390\/s21217409"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"S117","DOI":"10.1088\/0266-5611\/21\/6\/S09","article-title":"Free space experimental scattering database continuation: Experimental set-up and measurement precision","volume":"21","author":"Sabouroux","year":"2005","journal-title":"Inverse Probl."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1109\/TBME.2009.2036372","article-title":"A wideband microwave tomography system with a novel frequency selection procedure","volume":"57","author":"Gilmore","year":"2010","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"3497","DOI":"10.1109\/TMTT.2018.2804905","article-title":"Microwave tomography for the inspection of wood materials: Imaging system and experimental results","volume":"66","author":"Boero","year":"2018","journal-title":"IEEE Trans. Microw. Theory Tech."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Mojabi, P., Ostadrahimi, M., Shafai, L., and LoVetri, J. (2012, January 25\u201328). Microwave tomography techniques and algorithms: A review. Proceedings of the 15th International Symposium on Antenna Technology and Applied Electromagnetics, Toulouse, France.","DOI":"10.1109\/ANTEM.2012.6262367"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1109\/8.560338","article-title":"Microwave imaging-complex permittivity reconstruction with a Levenberg-Marquardt method","volume":"45","author":"Franchois","year":"1997","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1163\/156939303322235798","article-title":"Two- and three-dimensional algorithms for microwave imaging and inverse scattering","volume":"17","author":"Abubakar","year":"2003","journal-title":"J. Electromagn. Waves Appl."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"1788","DOI":"10.1109\/TAP.2016.2535492","article-title":"A new integral equation method to solve highly nonlinear inverse scattering problems","volume":"64","author":"Zhong","year":"2016","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Yadav, R., Omrani, A., Vauhkonen, M., Link, G., and L\u00e4hivaara, T. (2021, January 22\u201326). Microwave tomography for moisture level estimation using Bayesian framework. Proceedings of the 15th European Conference on Antennas and Propagation (EuCAP), Dusseldorf, Germany.","DOI":"10.23919\/EuCAP51087.2021.9411109"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Omrani, A., Yadav, R., Link, G., Vauhkonen, M., L\u00e4hivaara, T., and Jelonnek, J. (2021, January 22\u201326). A combined microwave imaging algorithm for localization and moisture level estimation in multilayered media. Proceedings of the 15th European Conference on Antennas and Propagation (EuCAP), Dusseldorf, Germany.","DOI":"10.23919\/EuCAP51087.2021.9411327"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"6138","DOI":"10.1109\/TAP.2019.2922779","article-title":"Physics-inspired convolutional neural network for solving full-wave inverse scattering problems","volume":"67","author":"Wei","year":"2019","journal-title":"IEEE Trans. Antennas Propag."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.ces.2018.01.032","article-title":"Application of microwave tomography to investigation the wet gas-solids flow hydrodynamic characteristics in a fluidized bed","volume":"180","author":"Che","year":"2018","journal-title":"Chem. Eng. Sci."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Meaney, P., Hartov, A., Raynolds, T., Davis, C., Richter, S., Schoenberger, F., Geimer, S., and Paulsen, K. (2020). Low cost, high performance, 16-channel microwave measurement system for tomographic applications. Sensors, 20.","DOI":"10.3390\/s20185436"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Yadav, R., Omrani, A., Link, G., Vauhkonen, M., and L\u00e4hivaara, T. (2022). Correlated sample-based prior in Bayesian inversion framework for microwave tomography. IEEE Trans. Antennas Propag.","DOI":"10.1109\/TAP.2022.3145433"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"2171","DOI":"10.1016\/S0009-2509(97)00043-2","article-title":"Application of ultrasonic tomography to monitoring gas\/liquid flow","volume":"52","author":"Xu","year":"1997","journal-title":"Chem. Eng. Sci."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"103811","DOI":"10.1016\/j.ijmultiphaseflow.2021.103811","article-title":"Ultrasonic Doppler technique for application to multiphase flows: A review","volume":"144","author":"Tan","year":"2021","journal-title":"Int. J. Multiph. Flow"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"5382","DOI":"10.1109\/JSEN.2017.2725911","article-title":"Ultrasonic tomography system for flow monitoring: A review","volume":"17","author":"Goh","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"2161","DOI":"10.1016\/S0009-2509(97)00042-0","article-title":"Ultrasonic process tomography using multiple active sensors for maximum real-time performance","volume":"52","author":"Li","year":"1997","journal-title":"Chem. Eng. Sci."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Langener, S., Musch, T., Ermert, H., and Vogt, M. (2014, January 3\u20136). Simulation of full-angle ultrasound process tomography with two-phase media using a ray-tracing technique. Proceedings of the IEEE International Ultrasonic Symposium, Chicago, IL, USA.","DOI":"10.1109\/ULTSYM.2014.0015"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"109654","DOI":"10.1016\/j.measurement.2021.109654","article-title":"Development of a high-speed ultrasonic tomography system for measurements of rising bubbles in a horizontal cross-section","volume":"182","author":"Murakawa","year":"2021","journal-title":"Measurement"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"9539","DOI":"10.1109\/TIE.2019.2891455","article-title":"An ultrasonic transmission\/reflection tomography system for industrial multiphase flow imaging","volume":"66","author":"Tan","year":"2019","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Koulountzios, P., Rymarczyk, T., and Soleimani, M. (2021). Ultrasonic time-of-flight computed tomography for investigation of batch crystallisation processes. Sensors, 21.","DOI":"10.3390\/s21020639"},{"key":"ref_99","first-page":"4502711","article-title":"Multifrequency ultrasonic tomography for oil-gas-water three-phase distribution imaging using transmissive attenuation spectrum","volume":"70","author":"Liu","year":"2021","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"104104","DOI":"10.1063\/1.5111567","article-title":"Simultaneous reconstruction of temperature and velocity fields using nonlinear acoustic tomography","volume":"115","author":"Yu","year":"2019","journal-title":"Appl. Phys. Lett."},{"key":"ref_101","first-page":"281","article-title":"The EMI scanner","volume":"195","author":"Hounsfield","year":"1977","journal-title":"Proc. R. Soc.-Biol. Sci."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1109\/PROC.1983.12588","article-title":"Cardiac computed tomography","volume":"71","author":"Boyd","year":"1983","journal-title":"Proc. IEEE"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"518","DOI":"10.1016\/j.apradiso.2009.09.004","article-title":"Flow imaging by high speed transmission tomography","volume":"68","author":"Johansen","year":"2010","journal-title":"Appl. Radiat. Isot."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1109\/23.775548","article-title":"Development of a high speed X-ray tomography system for multiphase flow imaging","volume":"46","author":"Morton","year":"1999","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.flowmeasinst.2005.02.003","article-title":"Comparison between wire-mesh sensor and ultra-fast X-ray tomograph for an air\u2013water flow in a vertical pipe","volume":"16","author":"Prasser","year":"2005","journal-title":"Flow Meas. Instrum."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1109\/23.708308","article-title":"Development of ultra-fast X-ray computed tomography scanner system","volume":"45","author":"Hori","year":"1998","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1002\/aic.12469","article-title":"Bubbles in a fluidized bed: A fast X-ray scanner","volume":"57","author":"Mudde","year":"2011","journal-title":"AIChE J."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"2254","DOI":"10.1016\/j.nucengdes.2009.11.016","article-title":"Ultra fast electron beam x-ray computed tomography for two-phase flow measurement","volume":"240","author":"Fischer","year":"2010","journal-title":"Nucl. Eng. Des."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1177\/0142331219858048","article-title":"Control concepts for image-based structure tracking with ultrafast electron beam X-ray tomography","volume":"42","author":"Windisch","year":"2020","journal-title":"Trans. Inst. Meas. Control"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"e1701879","DOI":"10.1126\/sciadv.1701879","article-title":"Real-time probing of granular dynamics with magnetic resonance","volume":"3","author":"Penn","year":"2017","journal-title":"Sci. Adv."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1103\/PhysRev.53.318","article-title":"A new method of measuring nuclear magnetic moment","volume":"53","author":"Rabi","year":"1938","journal-title":"Phys. Rev."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1038\/242190a0","article-title":"Image formation by induced local interactions: Examples employing nuclear magnetic resonance","volume":"242","author":"Lauterbur","year":"1973","journal-title":"Nature"},{"key":"ref_113","unstructured":"Haacke, E.M., Brown, R.W., Thompson, M.R., and Venkatesan, R. (1999). Magnetic Resonance Imaging: Physical Principles and Sequence Design, John Wiley & Sons."},{"key":"ref_114","unstructured":"Wang, M. (2015). Magnetic resonance imaging. Woodhead Publishing Series in Electronic and Optical Materials, Industrial Tomography, Woodhead Publishing. Systems and Applications."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"064305","DOI":"10.1103\/PhysRevFluids.6.064305","article-title":"Mechanism of anomalous sinking of an intruder in a granular packing close to incipient fluidization","volume":"6","author":"Tsuji","year":"2021","journal-title":"Phys. Rev. Fluids"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1002\/cite.202055115","article-title":"Magnetic resonance thermometry of gas-solid systems","volume":"92","author":"Rotzetter","year":"2020","journal-title":"Chem. Ing. Tech."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"7309","DOI":"10.1021\/ja0608287","article-title":"Magnetic resonance imaging of the manipulation of a chemical wave using an inhomogeneous magnetic field","volume":"128","author":"Evans","year":"2006","journal-title":"J. Am. Chem. Soc."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1126\/science.1925560","article-title":"Echo-planar imaging: Magnetic resonance imaging in a fraction of a second","volume":"254","author":"Stehling","year":"1991","journal-title":"Science"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S","article-title":"SENSE: Sensitivity encoding for fast MRI","volume":"42","author":"Pruessmann","year":"1999","journal-title":"Magn. Reson. Med."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"13330","DOI":"10.1002\/anie.201400535","article-title":"Less is more: How compressed sensing is transforming metrology in chemistry","volume":"53","author":"Holland","year":"2014","journal-title":"Angew. Chem."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1126\/science.1151787","article-title":"NMR imaging of catalytic hydrogenation in microreactors with the use of para-hydrogen","volume":"319","author":"Bouchard","year":"2008","journal-title":"Science"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/6\/2309\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:37:42Z","timestamp":1760135862000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/6\/2309"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,16]]},"references-count":121,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["s22062309"],"URL":"https:\/\/doi.org\/10.3390\/s22062309","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,16]]}}}