A Novel Method for Non-Invasive Imaging for Medicine and Material Testing

Abstract:

Electrical impedance tomography (EIT) is a perspective vital imaging method in medicine. Although the paper deals mainly with medicine application, the potential of EIT is also in the field of a novel material testing. EIT belongs to non-invasive methods. It is used mainly for the area of thorax since thorax exhibits the biggest changes in impedance. The lungs are mostly filled with air while surrounding flesh has impedance similar to water. However EIT has several drawbacks: relatively big measurement inaccuracy, blurred obtained images, difficulties in application of electrodes and problems with repeatability of measurements. Many drawbacks can be limited when an absolute tomography is used, though absolute tomography is very challenging and is rather only a laboratory concept then a real working method. This article deals with a robust method which is closely related to absolute tomography imaging while viable in clinical practice and to non-invasive material description in general. A unique measuring device VERA was developed. Such a device helps with fast application of electrodes and enables to get reproducible and reliable images of thorax or other volumes in engineering. The paper also discusses challenges when choosing a mediator material or liquid for EIT function. The concept of stiff framework for electrodes which is applied to patient is unusual but exhibits many advantages resulting in better images.

• Periodical: Materials Science Forum (Volume 952)
• Pages: 285-294
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.952.285
• Online since: April 2019
• Authors: David Krčmařík*, Ondřej Novák, Michal Petrů
• Keywords: Absolute Tomography, Electrical Impedance Tomography, Fixed Electrodes, Real-Time, VERA

References

[1] A. Baltopoulos, N. Polydorides, L. Pambaguian, et al., Damage identification in carbon fiber reinforced polymer plates using electrical resistance tomography mapping, Journal of Composite Materials 47 (2013) 3285–3301.

DOI: 10.1177/0021998312464079

[2] M. S. Beck, Process tomography, Principles, Techniques and Applications, 1st edn. Butterworth-Heinemann, Oxford (2012).

[3] Q. Wang, M. Wang, K. Wei, et al., Visualization of gas–oil–water flow in horizontal pipeline using dual-modality electrical tomographic systems, IEEE Sensors Journal 17 (2017) 8146-8156.

DOI: 10.1109/jsen.2017.2714686

[4] M. Wang, A. Dorward, D. Vlaev, et al., Measurements of gas-liquid mixing in a stirred vessel using electrical resistance tomography (ERT), Chemical Engineering Journal 77 (2000) 93-98.

DOI: 10.1016/s1385-8947(99)00138-2

[5] M. Shahrukh, P. Soupios, N. Papadopoulos, et al., Geophysical investigations at the Istron archaeological site, eastern Crete, Greece using seismic refraction and electrical resistivity tomography, Journal of Geophysics and Engineering 9 (2012) 749.

DOI: 10.1088/1742-2132/9/6/749

[6] I. Frerichs, Electrical impedance tomography (EIT) in applications related to lung and ventilation: a review of experimental and clinical activities, Physiological Measurement 21 (2000) 1–21.

DOI: 10.1088/0967-3334/21/2/201

[7] S. Leonhardt, B. Lachmann, Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring?, Intensive Care Medicine 38 (2012) 1917-1929.

DOI: 10.1007/s00134-012-2684-z

[8] D. S. Holder, Feasibility of developing a method of imaging neuronal activity in the human brain: a theoretical review, Medical & Biological Engineering & Computing 25 (1987) 2-11.

DOI: 10.1007/bf02442813

[9] V. Cherepenin, A. Karpov, A. Korjenevsky, et al., A 3D electrical impedance tomography (EIT) system for breast cancer detection, Physiological Measurement 22 (2001) 9–18.

DOI: 10.1088/0967-3334/22/1/302

[10] T. Schlebusch, S. Nienke, S. Leonhardt, S., et al., Bladder volume estimation from electrical impedance tomography, Physiological Measurement 35 (2014) 1813.

DOI: 10.1088/0967-3334/35/9/1813

[11] B. H. Kevles, Naked to the Bone: Medical imaging in the twentieth century, Rutgers University Press, New Brunswick, New Jersey (1997).

[12] R. Cierniak, X-Ray: Computed tomography in biomedical engineering, Springer-Verlag London Limited (2011).

[13] S. C. Bushong, G. Clark, Magnetic resonance imaging: Physical and biological principles, Elsevier Inc. (Mosby Inc.), St. Louis (2015).

[14] M. C. Martin, C. Dabat-Blondeau, M. Unger, M., et al., 3D spectral imaging with synchrotron Fourier transform infrared spectro-microtomography, Nature Methods 10 (2013) 861–864.

DOI: 10.1038/nmeth.2596

[15] H. Kasban, M. A. M. El-Bendary, D. H. Salama, A Comparative study of medical imaging techniques, International Journal of Information Science and Intelligent System 4 (2015) 37-58.

[16] I. G. Bikker, S. Leonhardt, J. Bakker, et al., Lung volume calculated from electrical impedance tomography in ICU patients at different PEEP levels, Intensive Care Medicine 35 (2009).

DOI: 10.1007/s00134-009-1512-6

[17] T. F. Schuessler, J. H. T. Bates, Current patterns and electrode types for single-source electrical impedance tomography of the thorax, Annals of Biomedical Engineering 26 (1998) 253.

DOI: 10.1114/1.116

[18] J. Schoberl, NETGEN An advancing 2D/3D-mesh generator based on abstract rules, Computer and Visualization in Science 1 (1997) 41-52.

DOI: 10.1007/s007910050004

[19] A. N. Tikhonov, V. Y. Arsenin, Solutions of ill-posed problems, Winston, Washington DC (1984).

[20] I. Hnetynkova, M. Plesinger, Z. Strakos, The regularizing effect of the Golub-Kahan interative bidiagonalization and revealing the noise level in the data, BIT Numerical Mathematics 49 (2009), 669-696.

DOI: 10.1007/s10543-009-0239-7

[21] P. O. Gaggero, A. Adler, J. Brunner, et al., Electrical impedance tomography system based on active electrodes, Physiological Measurement 33 (2012) 831-847.

DOI: 10.1088/0967-3334/33/5/831

[22] J. Cagan, Hardware implementation of electrical resistance tomography for damage detection of carbon fibre-reinforced polymer composites, Structural Health Monitoring 16 (2017) 129-141.

DOI: 10.1177/1475921716666004