School of Electrical and Information Engineering, The University of Sydney, New South Wales, Australia.
Physiol Meas. 2012 May;33(5):695-706. doi: 10.1088/0967-3334/33/5/695. Epub 2012 Apr 24.
Although electrical impedance tomography (EIT) for ventilation monitoring is on the verge of clinical trials, pulmonary perfusion imaging with EIT remains a challenge, especially in spontaneously breathing subjects. In anticipation of more research on this subject, we believe a thorough review is called for. In this paper, findings related to the physiological origins and electrical characteristics of this signal are summarized, highlighting properties that are particularly relevant to EIT. The perfusion impedance change signal is significantly smaller in amplitude compared with the changes due to ventilation. Therefore, the hardware used for this purpose must be more sensitive and more resilient to noise. In previous works, some signal- or image-processing methods have been required to separate these two signals. Three different techniques are reviewed in this paper, including the ECG-gating method, frequency-domain-filtering-based methods and a principal-component-analysis-based method. In addition, we review a number of experimental studies on both human and animal subjects that employed EIT for perfusion imaging, with promising results in the diagnosis of pulmonary embolism (PE) and pulmonary arterial hypertension as well as other potential applications. In our opinion, PE is most likely to become the main focus for perfusion EIT in the future, especially for heavily instrumented patients in the intensive care unit (ICU).
尽管电阻抗断层成像(EIT)在通气监测方面已接近临床试验,但 EIT 肺部灌注成像仍然是一个挑战,特别是在自主呼吸的患者中。鉴于对此主题的更多研究,我们认为需要进行全面审查。在本文中,总结了与该信号的生理起源和电气特性相关的发现,突出了与 EIT 特别相关的特性。与通气引起的变化相比,灌注阻抗变化信号的幅度要小得多。因此,为此目的而使用的硬件必须具有更高的灵敏度和对噪声的更强抵抗力。在以前的工作中,需要一些信号或图像处理方法来分离这两个信号。本文回顾了三种不同的技术,包括 ECG 门控方法、基于频域滤波的方法和基于主成分分析的方法。此外,我们还回顾了一些在人体和动物受试者上进行的 EIT 灌注成像的实验研究,这些研究在肺栓塞(PE)和肺动脉高压的诊断以及其他潜在应用方面取得了有希望的结果。在我们看来,PE 很可能成为未来灌注 EIT 的主要关注点,特别是在重症监护病房(ICU)中接受大量仪器治疗的患者。