Part I: Tomographic Modalities 1. Electrical Capacitance Tomography 2. Electrical Impedance Tomography 3. Electromagnetic Induction Tomography 4. Magnetic Resonance Imaging 5. Chemical Species Tomography 6. X-ray Computed Tomography 7. Radioisotope Tracer Techniques 8. Ultrasound Tomography 9. Spectro-Tomography 10. Electron Tomography
Part II: Tomographic Image Reconstruction and Data Fusion 11. Mathematical Concepts for Image Reconstruction in Tomography 12. Direct Methods for Image Reconstruction in Electrical Capacitance Tomography 13. Machine Learning Process Information from Tomography Data 14. Advanced Electrical Tomography Visualization
Part III: Tomography Applications 15. Electrical Resistance Tomography Applications to Chemical Engineering 16. Examples of Applications in Industry 17. Applications of Tomography in Oil-Gas Industry: Part 1 18. Applications of Tomography in Oil-Gas Industry: Part 2 19. Applications of Tomography in Multiphase Transportation 20. Slurry Flow Characterization with ERT 21. Applications of Tomography in Microreactors 22. X-ray Tomography of Fluidized Beds 23. Applications of Tomography in Bubble Column and Trickle Bed Reactors 24. Applications of Tomography in Mixing Process 25. Applications of Capacitance Tomography in Gas-Solid Fluidized Bed Systems 26. Applications of AI and Possibilities for Process Control 27. Diverse Tomography Applications
Mi Wang has been a Professor of Process Tomography and Sensing at the University of Leeds, UK, since 2007. He is also a guest editor of Measurement Science and Technology and Flow Measurement and Instrumentation, and the editor of Petroleum and Hydrodynamics. He has previously been a guest Professor at the Institute of Mechanics of the Chinese Academy of Sciences, China, and a visiting Professor at Nihon University, Japan, where he was awarded the Outstanding Contribution Medal in 2007.