Paper
5 May 2016 Speed of sound estimation with active PZT element for thermal monitoring during ablation therapy: feasibility study
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Abstract
Controlling the thermal dose during ablation therapy is instrumental to successfully removing the tumor while preserving the surrounding healthy tissue. In the practical scenario, surgeons must be able to determine the ablation completeness in the tumor region. Various methods have been proposed to monitor it, one of which uses ultrasound since it is a common intraoperative imaging modality due to its non-invasive, cost-effective, and convenient natures. In our approach, we propose to use time of flight (ToF) information to estimate speed of sound changes. Accurate speed of sound estimation is crucial because it is directly correlated with temperature change and subsequent determination of ablation completeness. We divide the region of interest in a circular fashion with a variable radius from the ablator tip. We introduce the concept of effective speed of sound in each of the sub-regions. Our active PZT element control system facilitates this unique approach by allowing us to acquire one-way ToF information between the PZT element and each of the ultrasound elements. We performed a simulation and an experiment to verify feasibility of this method. The simulation result showed that we could compute the effective speed of sound within 0.02m/s error in our discrete model. We also perform a sensitivity analysis for this model. Most of the experimental results had less than 1% error. Simulation using a Gaussian continuous model with multiple PZT elements is also demonstrated. We simulate the effect of the element location one the optimization result.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Younsu Kim, Xiaoyu Guo, Alexis Cheng, and Emad M. Boctor "Speed of sound estimation with active PZT element for thermal monitoring during ablation therapy: feasibility study", Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97901K (5 May 2016); https://doi.org/10.1117/12.2217086
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KEYWORDS
Ferroelectric materials

Ultrasonography

Chemical elements

Computer simulations

Error analysis

Control systems

Tissues

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