REVIEW PAPER
Advancing medical diagnostics: a portable ultrasonic-impedance tomograph for non-invasive lower urinary tract monitoring
 
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1
WSEI University
 
2
Lublin University of Technology
 
 
Submission date: 2024-06-28
 
 
Acceptance date: 2024-07-18
 
 
Publication date: 2024-08-20
 
 
JoMS 2024;57(Numer specjalny 3):684-700
 
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ABSTRACT
Technological advancements in medical imaging techniques are opening new possibilities for diagnostics and monitoring health conditions. This study aimed to develop and evaluate a portable ultrasound-impedance tomograph designed for long-term monitoring of the lower urinary tract. This device combines ultrasound and impedance technologies, enhancing imaging accuracy and the non-invasiveness of procedures, which is particularly crucial for patients requiring regular examinations. The study used a prototype tomograph on patients with lower urinary tract disorders. To assess the device's effectiveness, images obtained from traditional diagnostic methods were compared with those generated by the new tomograph. This device utilizes advanced ultrasound beamforming technology and multiplexing of measurement channels, allowing for rapid and accurate diagnostics without requiring invasive sensor placement within the patient's body. The findings indicate that the newly developed tomography provides high-resolution and high-contrast images, facilitating better pathology identification than traditional methods. It was also demonstrated that the device effectively monitors changes over time, crucial for planning long-term treatment and monitoring patients. The development of this device opens new possibilities in diagnosing and monitoring medical conditions, enabling more precise and less burdensome diagnostic procedures. Its application could significantly improve the quality of life for patients and the efficacy of therapies in urology and other medical fields.
 
REFERENCES (22)
1.
Andreis, U., Americo, M., Cora, L., Oliveira, R., Baffa, O., Miranda, J. (2008). Gastric motility evaluated by Electrogastrography and alternating current biosusceptometry in dogs. Physiol. Meas. 29, p.1023–1031.
 
2.
Baran, B., Kozłowski, E., Majerek, D., Rymarczyk, T., Soleimani, M., Wójcik, D. (2023). Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking. Sensors, 23, 1553.
 
3.
Baran, B., Wójcik, D., Oleszek, M., Vejar, A., Rymarczyk, T. (2023). BETS: A Bladder Monitoring System I am using Electrical Impedance Tomography: Poster. In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems p. 804–805.
 
4.
Bayford, R. (2006). Bioimpedance tomography (electrical impedance tomography). Annu. Rev. Biomed. Eng. 8, p. 63–91.
 
5.
Bayford, R., Bertemes-Filho, P., Frerichs, I. (2020). Topical issues in electrical impedance tomography and Bioimpedance application research. Physiol. Meas. 41, 120301.
 
6.
Boone, K., Lewis, A.M., Holder, D.S. (1994). Imaging of cortical spreading depression by EIT: implications for Localization of epileptic foci. Physiol. Meas. 15 (Suppl 2a), A189–198.
 
7.
Costa, E.L.V., Lima, R.G., Amato, M.B.P. (2009). Electrical impedance tomography. Curr. Opin. Crit. Care 15, p.18–24.
 
8.
Faragallah, O.S., El-Hoseny, H., El-Shafai, W., El-Rahman, W.A., El-Sayed, H.S., El-Rabaie, E.M., Abd El-Samie, F.E., Geweid, G.G.N. (2021). A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions. IEEE Access, 9, 11358-11371.
 
9.
He, H., Chi, Y., Long, Y., Yuan, S., Zhang, R., Yang, Y., Frerichs, I., Moller, K., Fu, F., Zhao, Z. (2021). Three Broad classifications of acute respiratory failure etiologies based on regional ventilation and perfusion by electrical impedance tomography: a hypothesis-generating study. Ann. Intensive Care 11, p.134.
 
10.
Hannan, S., Faulkner, M., Aristovich, K., Avery, J., Walker, M.C., Holder, D.S. (2020). In vivo imaging of deep Neural activity from the cortical surface during hippocampal epileptiform events in the rat brain using electrical impedance tomography. Neuroimage 209, 116525.
 
11.
Kiczek, B., Gołąbek, M., Wójcik, D., Kania, K., Kozłowski, E., Rymarczyk, T., Sikora, J. (2022). A Wearable Ultrasonic Bladder Monitoring Device. In Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (pp. 886–888).
 
12.
Li, R., Gao, J., Zhao, Z., Li, Y., Wu, J. (2016). A preliminary study of assessing bladder urinary volume using Electrical impedance tomography. J. Med. Biol. Eng. 36, 8.
 
13.
Li, Z., Qin, S., Chen, C., Mei, S., Yao, Y., Zhao, Z., Li, W., Deng, Y., Gao, Y. (2022). Emerging trends and hot Spots of electrical impedance tomography applications in clinical lung monitoring. Front. Med. 8.
 
14.
Maciejewski, D., Putowski, Z., Czok, M., Krzych, Ł.J. (2021). Electrical impedance tomography as a tool for We are monitoring mechanical ventilation. An introduction to the technique. Adv. Med. Sci. 66, p.388–395.
 
15.
Noyori, S.S., Nakagami, G., Sanada, H. (2022). Non-invasive urine volume estimation in the bladder by electrical impedance-based methods: a review. Med. Eng. Phys. 101, 103748.
 
16.
Rezanejad Gatabi, Z., Mirhoseini, M., Khajeali, N., Rezanezhad Gatabi, I., Dabbaghianamiri, M., Dorri, S. (2022). The accuracy of electrical impedance tomography for breast cancer detection: a systematic review and meta-analysis. Breast J. 2022, 8565490.
 
17.
Tang, T., Weiss, M.D., Borum, P., Turovets, S., Tucker, D., Sadleir, R. (2016). In vivo quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array. Physiol. Meas. 37, p. 751–764.
 
18.
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P. (2004). Image Quality Assessment: From Error Measurement to Structural Similarity. IEEE Transactions on Image Processing, 13, 14.
 
19.
Wan, Y., Halter, R., Borsic, A., Manwaring, P., Hartov, A., Paulsen, K. (2010). Sensitivity study of an ultrasound coupled transrectal electrical impedance tomography system for prostate imaging. Physiol. Meas. 31, S17–S29.
 
20.
Wodack, K.H., Buehler, S., Nishimoto, S.A., Graessler, M.F., Behem, C.R., Waldmann, A.D., Mueller, B., Bohm, S.H., Kaniusas, E., Thurk, F., Maerz, A., Trepte, C.J.C., Reuter, D.A. (2018). Detection of thoracic vascular structures by electrical impedance tomography: a systematic assessment of prominence peak analysis of impedance changes. Physiol. Meas. 39.
 
21.
Zhao, Z., Fu, F., Frerichs, I. (2020). Thoracic electrical impedance tomography in Chinese hospitals: a review of clinical research and daily applications. Physiol. Meas. 41, 04TR01.
 
22.
Zhao, Z., He, H., Chi, Y., Long, Y., Yuan, S., Zhang, R., Yang, Y., Frerichs, I., Moller, K., Fu, F. (2021). Three broad classifications of acute respiratory failure etiologies based on regional ventilation and perfusion by electrical impedance tomography: a hypothesis-generating study. Ann. Intensive Care 11, 134.
 
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