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Proceedings Paper

Real-time in-situ monitoring of electrotherapy process using electric pulse-induced acoustic tomography (EpAT)
Author(s): Ali Zarafshani; Nicklas Dang; Pratik Samant; Rowzat Faiz; Bin Zheng; Liangzhong Xiang
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Paper Abstract

The use of electrical energy in applying reversible or irreversible electropermobilization for biomedical therapies is growing rapidly. This technique uses an ultra-short and high-voltage electric pulse (μs-to-nsEP) to improve the permeability of cell membranes, thus allowing drug delivery to the cytosol via nanopores in the membrane. Since the treatment subject varies in size, location, shape and tissue environment, it is necessary to visualize this mechanism by monitoring electric field distributions in real-time. Previous studies suggested various techniques for monitoring electroporation, however, none of these techniques are so far capable for real-time monitoring of the electric field. In this study, we propose an innovative real-time, monitoring technique of electric field distributions based on electric field-induced acoustic emissions. For the first time, we demonstrate the capability of an electric field that used in electrotherapy to induce acoustic waves, which can be suggested for realtime monitoring. We tested this technique by generating a variety of electric field distributions (μs-to-nsEP with intensity up to 120V/cm) to energize two electrodes in a bi-polar configuration (d1=100μm and d2=200μm). The electric field transmits a short burst of ultrasonic energy. We used ultrasonic receivers for collecting acoustic signals around the subject under test. Acoustic signals were collected through different intensities of electric field distributions and repositioning the electric field from the receiver in 3D structure. An electric field utilized in electrotherapy produces high resolution images that directly can improve the efficiency of electrotherapy treatments in real-time.

Paper Details

Date Published: 9 March 2018
PDF: 8 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105732J (9 March 2018); doi: 10.1117/12.2293138
Show Author Affiliations
Ali Zarafshani, The Univ. of Oklahoma (United States)
Nicklas Dang, The Univ. of Oklahoma (United States)
Pratik Samant, The Univ. of Oklahoma (United States)
Rowzat Faiz, The Univ. of Oklahoma (United States)
Bin Zheng, The Univ. of Oklahoma (United States)
Liangzhong Xiang, The Univ. of Oklahoma (United States)

Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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