High accurate and efficient electrical impedance tomography for fast brain imaging

High accurate and efficient electrical impedance tomography for fast brain imaging
复制标题

DOI:
10.1117/12.2659172
复制
发表时间:
2023-04
期刊:
--
影响因子:
--
通讯作者:
H. Tran;Min H. Kim;T. Le;H. Yoon
H. Tran;Min H. Kim;T. Le;H. Yoon
中科院分区:
其他
文献类型:
--
作者:
H. Tran;Min H. Kim;T. Le;H. Yoon

文献摘要

相似文献

电阻抗断层扫描 (EIT) 是一种医学成像技术,通过将电流注入电极对并测量其余电极上的感应电压来重建目标物体内部的阻抗分布。由于神经信号是由导致细胞膜阻抗变化的离子通道活动产生的,因此 EIT 可以对这些神经活动进行成像,以了解大脑功能和医疗目的。在我们的研究中,我们自主开发的电子原型板用于产生高质量电流并以高采样率和位分辨率收集电极上的数据。在图像重建方面,新开发并应用了预处理数据分析算法,以提高EIT成像的准确性。人体头部具有复杂的解剖几何形状和不均匀的电阻率分布以及高电阻的颅骨,这使得大脑EIT仍然具有挑战性的不准确图像重建。为了模仿人体头部,设计并测试了多层人体头部模型,以研究头骨结构对成像的影响。在本次演讲中,将介绍测量和模拟结果的比较研究,以讨论误差来源并提高我们的大脑 EIT 系统的准确性和效率。
Electrical Impedance Tomography (EIT) is a medical imaging technique that reconstructs impedance distribution inside a target object by injecting electrical currents into pairs of electrodes and measuring induced voltages on the remaining electrodes. Since neural signals result from the activity of ion channels causing impedance changes in the cell membrane, EIT can image these neural activities for understanding brain function and medical purposes. In our research, our self-developed electronic prototype board was used to generate high-quality electrical current and collect the data on electrodes with a high sampling rate and bit-resolution. In image reconstruction, a preprocessing data analysis algorithm was newly developed and applied to improve the accuracy of our EIT imaging. The human head has complex anatomical geometry and non-uniform resistivity distribution along with the highly resistive skull, which makes brain-EIT remains challenging inaccurate image reconstruction. To mimic the human head, a multi-layered human head phantom was designed and tested to investigate the effect of the skull structure on imaging. In this presentation, comparison studies for measurements and simulation results will be introduced to discuss the source of errors and improve the accuracy and efficiency of our brain-EIT system.