Hampel, UweUweHampelBabout, LaurentLaurentBaboutBanasiak, RobertRobertBanasiakSchleicher, EckhardEckhardSchleicherSoleimani, ManuchehrManuchehrSoleimaniWondrak, ThomasThomasWondrakVauhkonen, MarkoMarkoVauhkonenLähivaara, TimoTimoLähivaaraTan, ChaoChaoTanHoyle, BrianBrianHoylePenn, AlexanderAlexanderPenn2022-03-292022-03-292022-03-16Sensors 22 (6): 2309 (2022)http://hdl.handle.net/11420/12126With 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.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.en1424-822020226Multidisciplinary Digital Publishing Institutehttps://creativecommons.org/licenses/by/4.0/process tomographytomographic sensorsimage reconstructionindustrial process monitoring and controlTechnikIngenieurwissenschaftenJournal Article2022-03-2410.15480/882.426610.3390/s2206230910.15480/882.4266Journal Article