PRACA POGLĄDOWA
Analysis of medical correlation models using ultrasound tomography and electric impedance tomography
 
Więcej
Ukryj
1
WSEI University
 
 
Data nadesłania: 28-06-2024
 
 
Data akceptacji: 18-07-2024
 
 
Data publikacji: 20-08-2024
 
 
Autor do korespondencji
Paweł Olszewski   

WSEI University
 
 
JoMS 2024;57(Numer specjalny 3):839-854
 
SŁOWA KLUCZOWE
DZIEDZINY
_Inne
 
STRESZCZENIE
Summary The main goal of the work was to develop a method for the fusion of images from two different measurement techniques. A project has been designed to integrate electrical impedance tomography (EIT) and ultrasonic tomography (UST) data. The next stage was to analyze the correlation between the EIT results and the occurrence of lower urinary tract dysfunctions and establish boundary parameters for visualization and segmentation. Additionally, the relationships between UST data and the dysfunctions were examined, which also required defining parameters for segmentation. The work also involves establishing standards and methods for the arrangement of measurement electrodes, which is crucial for the precision of both techniques. The proposed approach and results constitute an essential step towards implementing more advanced diagnostic tools to improve patient's quality of life by diagnosing lower urinary tract dysfunctions faster and more precisely.
 
REFERENCJE (9)
1.
Duan, X. (2020). Electrical impedance tomography: methods and applications. Doctoral Thesis, PhD. Published on 24 June 2020.
 
2.
Kozłowski, E., Gołabek, M., Guzik, M., Wójcik, D., Rymarczyk, T. (2021). Ultrasound Tomography for Monitoring the Lower Urinary Tract. Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys ‚21), Association for Computing Machinery, New York, NY, USA, 2021, 388–390.
 
3.
Rymarczyk, T., Kosior, A., Tchórzewski, P., Vejar, A. (2021). Image reconstruction in electrical impedance tomography using a reconfigurable FPGA system. Journal of Physics: Conference Series, 1782, 1 (Feb 2021), 012033. https://doi.org/10.1088/1742-6....
 
4.
Rymarczyk, T., Polakowski, K., Sikora, J. (2021). PDE-solved by boundary element method for electrical impedance tomography. Journal of Physics: Conference Series, 1782, 1 (Feb 2021), 012030. https://doi.org/10.1088/1742-6....
 
5.
Rymarczyk, T., Wójcik, D., Cieplak, T., Gołąbek, P., Mazurek, M., Kania, K. (2021). Implementation of Block-Wise-Transform-Reduction Method for Image Reconstruction in Ultrasound Transmission Tomography. IEEE INFOCOM 2021 – IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021, 1–2.
 
6.
Rymarczyk, T., Wójcik, D., Kozłowski, E., Rzemieniak, M., Gudowski, J., Gauda, K., Majerek, D. (2021). Machine Learning and Deterministic Approach to the Reflective Ultrasound Tomography. Energies, 14(2021), 7549.
 
7.
Steiner, G., Soleimani, M., Watzenig, D. (2008). A bio-electromechanical imaging technique with combined electrical impedance and ultrasound tomography. Physiological Measurement, 29(6), S63. Published 10 June 2008. 2008 Institute of Physics and Engineering in Medicine. https://doi.org/10.1088/0967-3....
 
8.
Tchórzewski, P., Kłosowski, G., Adamkiewicz, P., Rymarczyk, T., Kozłowski, E. (2020). Applying the logistic regression in electrical impedance tomography to analyze the conductivity of the examined objects. International Journal of Applied Electromagnetics and Mechanics, 64, S1 (2020), S235–S252. https://doi.org/10.3233/JAE-20....
 
9.
United Nations Department of Economic and Social Affairs. [n.d.]. World Population Prospects 2022: Summary of Results. UN DESA/POP/2022/TR/NO. 3.
 
eISSN:2391-789X
ISSN:1734-2031
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