Electrical Impedance Tomography (2^nd Ed.) Methods, History and Applications Series in Medical Physics and Biomedical Engineering Series

With contributions from leading international researchers, this second edition of Electrical Impedance Tomography: Methods, History and Applications has been fully updated throughout and contains new developments in the field, including sections on image interpretation and image reconstruction. Providing a thorough review of the progress of EIT, the present state of knowledge, and a look at future advances and applications, this accessible reference will be invaluable for mathematicians, physicists dealing with bioimpedance, electronic engineers involved in developing and extending its applications, and clinicians wishing to take advantage of this powerful imaging method.

Key Features:

• Fully updated throughout, with new sections on image interpretation and image reconstruction
• Overview of the current state of experimental and clinical use of EIT as well as active research developments
• Overview of related research in geophysics, industrial process tomography, magnetic-resonance and magnetic-induction impedance imaging

Section i. Introduction. 1. Electrical Impedance Tomography. 2. Introduction to EIT Concepts and Technology. Section ii. EIT: Tissue Properties to Image Measures. 3. Electromagnetic Properties of Tissues. 4. Electronics and Hardware. 5. The EIT Forward Problem. 6. The EIT Inverse Problem. 7. D-bar Methods for EIT. 8. EIT Image Interpretation. Section iii. Applications. 9. EIT for Measurement of Function. 10. EIT for Monitring of Ventilation. 11. EIT Monitoring of Hemodynamics. 12. EIT Imaging of Brain Nerves. 13. EIT for Imaging of Cancer. 14. Other Clinical Applications of EIT. 15. Veterinary Applications of EIT. Section iv. Related Technologies. 16. Magnetic Induction Tomography. 17. Electrical Imaging using MRI. 18. Geophysical ERT. 19. Industrial Process Tomography. 20. Devices, History and Conferences.

David Holder is a Professor of Biophysics and Clinical Neurophysiology, and an Honorary Consultant in Clinical Neurophysiology at University College London and UCL Hospitals, UK.

Andy Adler is a Canada Research Professor in biomedical engineering in Systems and Computer Engineering at Carleton University in Ottawa, Canada.