Paper
10 June 2003 Cryosurgical monitoring using electrical impedance tomography: 2D and 3D feasibility studies
David M. Otten, Gary M. Onik M.D., Boris Rubinsky
Author Affiliations +
Abstract
The effectiveness of cryosurgery in treating tumors is highly dependent on knowledge of freezing extent, and therefore relies heavily on real-time imaging techniques for monitoring. Electrical impedance tomography (EIT), which utilizes tissue impedance variation to construct an image, is very well-suited to cryosurgery since frozen tissue impedance is much higher than that of unfrozen tissue. In this study, we develop numerical models to evaluate the theoretical ability of EIT to image cryosurgery. We begin in the simplified 2D arena, and then extend this line of study to the more appropriate 3D realm. Our simulated finite element phantoms and pixel-based Newton-Raphson reconstruction algorithms were able to produce easily identifiable images of frozen regions within tissue. We hope that these findings will serve as a stepping stone in developing EIT as a promising supplement to existing cryosurgical monitoring techniques.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David M. Otten, Gary M. Onik M.D., and Boris Rubinsky "Cryosurgical monitoring using electrical impedance tomography: 2D and 3D feasibility studies", Proc. SPIE 4954, Thermal Treatment of Tissue: Energy Delivery and Assessment II, (10 June 2003); https://doi.org/10.1117/12.476375
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KEYWORDS
Tissues

3D modeling

Reconstruction algorithms

Electrodes

Tomography

Data modeling

Tumors

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