Malone Emma, Jehl Markus, Arridge Simon, Betcke Timo, Holder David
University College London, London WC1E 6BT, UK.
Physiol Meas. 2014 Jun;35(6):1051-66. doi: 10.1088/0967-3334/35/6/1051. Epub 2014 May 20.
We investigate the application of multifrequency electrical impedance tomography (MFEIT) to imaging the brain in stroke patients. The use of MFEIT could enable early diagnosis and thrombolysis of ischaemic stroke, and therefore improve the outcome of treatment. Recent advances in the imaging methodology suggest that the use of spectral constraints could allow for the reconstruction of a one-shot image. We performed a simulation study to investigate the feasibility of imaging stroke in a head model with realistic conductivities. We introduced increasing levels of modelling errors to test the robustness of the method to the most common sources of artefact. We considered the case of errors in the electrode placement, spectral constraints, and contact impedance. The results indicate that errors in the position and shape of the electrodes can affect image quality, although our imaging method was successful in identifying tissues with sufficiently distinct spectra.
我们研究多频电阻抗断层成像（MFEIT）在中风患者脑部成像中的应用。使用MFEIT能够实现缺血性中风的早期诊断和溶栓治疗，从而改善治疗效果。成像方法的最新进展表明，使用频谱约束可以重建一次性图像。我们进行了一项模拟研究，以探讨在具有实际电导率的头部模型中对中风进行成像的可行性。我们引入了不断增加的建模误差水平，以测试该方法对最常见伪影来源的稳健性。我们考虑了电极放置、频谱约束和接触阻抗方面的误差情况。结果表明，电极位置和形状的误差会影响图像质量，尽管我们的成像方法成功地识别出了具有足够不同频谱的组织。
