J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA.
Ann Biomed Eng. 2010 Aug;38(8):2733-47. doi: 10.1007/s10439-010-0003-9. Epub 2010 Mar 18.
We compared two 16-electrode electrical impedance tomography (EIT) current patterns on their ability to reconstruct and quantify small amounts of bleeding inside a neonatal human head using both simulated and phantom data. The current patterns used were an adjacent injection RING pattern (with electrodes located equidistantly on the equator of a sphere) and an EEG current pattern based on the 10-20 EEG electrode layout. Structures mimicking electrically important structures in the infant skull were included in a spherical numerical forward model and their effects on reconstructions were determined. The EEG pattern was found to be a better topology to localize and quantify anomalies within lateral ventricular regions. The RING electrode pattern could not reconstruct anomaly location well, as it could not distinguish different axial positions. The quantification accuracy of the RING pattern was as good as the EEG pattern in noise-free environments. However, the EEG pattern showed better quantification ability than the RING pattern when noise was added. The performance of the EEG pattern improved further with respect to the RING pattern when a fontanel was included in forward models. Significantly better resolution and contrast of reconstructed anomalies was achieved when generated from a model containing such an opening and 50 dB added noise. The EEG method was further applied to reconstruct data from a realistic neonatal head model. Overall, acceptable reconstructions and quantification results were obtained using this model and the homogeneous spherical forward model.
我们比较了两种 16 电极电阻抗断层成像(EIT)电流模式,以评估它们在使用模拟和体模数据重建和量化新生儿头部小量出血的能力。所使用的电流模式是相邻注射 RING 模式(电极位于球体赤道上等距)和基于 10-20 EEG 电极布局的 EEG 电流模式。在球形数值正向模型中包含了模拟婴儿颅骨中电重要结构的结构,并确定了它们对重建的影响。EEG 模式在定位和量化侧脑室区域异常方面具有更好的拓扑结构。RING 电极模式无法很好地重建异常位置,因为它无法区分不同的轴向位置。在无噪声环境下,RING 模式的量化精度与 EEG 模式一样好。然而,当添加噪声时,EEG 模式的量化能力优于 RING 模式。当在正向模型中包含囟门时,EEG 模式的性能相对于 RING 模式进一步提高。当从包含这种开口和 50dB 附加噪声的模型生成时,重建异常的分辨率和对比度得到了显著提高。进一步将 EEG 方法应用于从现实新生儿头部模型重建的数据。总体而言,使用该模型和均匀球形正向模型可以获得可接受的重建和量化结果。