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arXiv 2202.13159eess.SPcs.SYeess.SY
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应用电阻抗断层成像技术进行脑实时高分辨率成像的可行性研究

A Feasibility Study on Real-Time High Resolution Imaging of the Brain Using Electrical Impedance Tomography

Sebastien Martin

摘要:

目的:电阻抗断层成像(EIT)的优势在于其能够通过使用无创、辐射安全的技术对体内进行成像,并且没有已知的危险。在本文中,我们介绍了一种新的想法,在脑深部电刺激(DBS)手术过程中使用EIT的微电极,以获得周围的微电极的脑组织的电导率的图像。DBS是一种手术治疗,涉及在大脑内植入医疗探头。对于这样的应用,EIT重建方法必须提供高质量和对噪声的鲁棒性。研究方法:本文介绍了一种开域电阻抗成像后处理方法,该方法将线性和非线性方法相结合,以发挥两者的优点,同时限制两者的缺点。重建方法是一个两步的方法,第一个解决了逆问题的线性算法和第二个带来的非线性方面回到图像。结果:所提出的方法进行了测试模拟和体模数据,并比较了三个广泛使用的EIT成像方法。所产生的图像和误差为所提出的解决方案提供了强大的优势。结论:体模数据的高质量重建验证了新的重建方法的有效性。意义:该可行性研究为开放域EIT提供了一种有效的方法,并为临床试验开辟了道路。

英文摘要:

Objective: The strengths of Electrical Impedance Tomography (EIT) are its capability of imaging the internal body by using a noninvasive, radiation safe technique, and the absence of known hazards. In this paper we introduce a novel idea of using EIT in microelectrodes during Deep Brain Stimulation (DBS) surgery in order to obtain an image of the electrical conductivities of the brain tissues surrounding the microelectrodes. DBS is a surgical treatment involving the implantation of a medical probe inside the brain. For such application, the EIT reconstruction method has to offer both high quality and robustness against noise. Methods: A post-processing method for open-domain EIT is introduced in this paper, which combines linear and nonlinear methods in order to use the advantages of both with limited drawbacks. The reconstruction method is a two-steps method, the first solves the inverse problem with a linear algorithm and the second brings the nonlinear aspects back into the image. Results: The proposed method is tested on both simulation and phantom data, and compared to three widely used method for EIT imaging. Resulting images and errors gives a strong advantage to the proposed solution. Conclusion: High quality reconstruction from phantom data validates the efficiency of the novel reconstruction method. Significance: This feasibility study presents an efficient method for open domain EIT and opens the way to clinical trials.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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