Ouypornkochagorn Taweechai, Polydorides Nick, McCann Hugh
Faculty of Engineering, Srinakharinwirot University, Bangkok, Thailand.
School of Engineering, The University of Edinburgh, Edinburgh, United Kingdom.
Front Physiol. 2023 Apr 5;14:1157371. doi: 10.3389/fphys.2023.1157371. eCollection 2023.
The practical implementation of continuous monitoring of stroke patients by Electrical Impedance Tomography (EIT) is addressed. In a previous paper, we have demonstrated EIT sensitivity to cerebral hemodynamics, using scalp-mounted electrodes, very low-noise measurements, and a novel image reconstruction method. In the present paper, we investigate the potential to adapt that system for clinical application, by using 50% fewer electrodes and by incorporating into the measurement protocol an additional high-frequency measurement to provide an effective reference. Previously published image reconstruction methods for multi-frequency EIT are substantially improved by exploiting the forward calculations enabled by the detailed head model, particularly to make the referencing method more robust and to attempt to remove the effects of modelling error. Images are presented from simulation of a typical hemorrhagic stroke and its growth. These results are encouraging for exploration of the potential clinical benefit of the methodology in long-term monitoring of hemorrhagic stroke.
本文探讨了通过电阻抗断层成像（EIT）对中风患者进行连续监测的实际应用。在之前的一篇论文中，我们已经证明了使用头皮电极、极低噪声测量和一种新颖的图像重建方法，EIT对脑血流动力学具有敏感性。在本文中，我们研究了将该系统应用于临床的潜力，方法是减少50%的电极数量，并在测量协议中加入额外的高频测量以提供有效的参考。通过利用详细头部模型实现的正向计算，对先前发表的多频EIT图像重建方法进行了实质性改进，特别是使参考方法更稳健，并试图消除建模误差的影响。展示了典型出血性中风及其发展过程的模拟图像。这些结果对于探索该方法在出血性中风长期监测中的潜在临床益处是令人鼓舞的。
