Department of Biomedical Engineering, University of Florida, Box 116131, Gainesville, FL 32601, USA.
Physiol Meas. 2011 Jul;32(7):811-21. doi: 10.1088/0967-3334/32/7/S06. Epub 2011 Jun 7.
We have developed a robust EEG-based current pattern which shows promise for the detection of intraventricular hemorrhage (IVH) in neonates. Our reconstructions to date are based on a layered spherical head model. In this study, the current pattern was used to gather data from three realistic-shaped neonatal head models and a physical phantom based on one of these models. We found that a sensitivity matrix calculated from a spherical model gave us satisfactory reconstructions in terms of both image quality and quantification. Incorporating correct geometry information into the forward model improved image quality. However, it did not improve quantification accuracy. The results indicate that using a spherical matrix may be a more practical choice for monitoring IVH volumes in neonates for whom patient-specific models are not available.
我们开发了一种稳健的基于 EEG 的电流模式，该模式有望用于检测新生儿的脑室内出血（IVH）。我们迄今为止的重建是基于分层球形头部模型的。在这项研究中，电流模式用于从三个基于真实形状的新生儿头部模型和基于其中一个模型的物理模型收集数据。我们发现，从球形模型计算出的灵敏度矩阵在图像质量和定量方面都能提供令人满意的重建结果。将正确的几何信息纳入正向模型可以提高图像质量，但不会提高定量准确性。结果表明，对于无法获得患者特异性模型的新生儿，使用球形矩阵可能是监测 IVH 体积的更实用的选择。
