Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling.
Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling.
复制标题
DOI：
10.1016/j.neuroimage.2011.03.001
复制
发表时间：
2011-06-01
期刊：
影响因子：
5.7
通讯作者：
Boas DA
中科院分区：
文献类型：
--
作者：
Gagnon L;Perdue K;Greve DN;Goldenholz D;Kaskhedikar G;Boas DA
漫反射光学成像(DOI)可以恢复与诱发的脑活动相关的血流动力学反应。信号受到全身生理干扰的污染，这种干扰发生在头部的浅层和脑组织中。测量的背向反射几何结构使DOI信号受到发生在浅层的系统干扰的强烈污染。最近的一个发展是使用来自小源-探测器间隔(1厘米)的光路的信号作为回归变量。由于这些额外的测量主要对成人的表层敏感，它们有助于消除较长间隔测量(3厘米)中存在的系统干扰。在这些发现的鼓舞下，我们开发了一种动态估计程序，利用小的光电分离来消除全局干扰，并同时估计血流动力学响应。该算法是通过恢复模拟的合成血流动力学反应加上基线DOI数据来测试的，这些数据来自6名静息状态的受试者。通过皮尔逊R2系数和恢复的血流动力学响应与模拟的血流动力学响应之间的均方误差(MSE)来量化算法的性能。我们的动态估计器还与静态估计器和传统的自适应滤波方法进行了比较。我们观察到，与传统的自适应滤波、静态估计和标准GLM技术相比，使用我们的卡尔曼滤波动态估计器在HBO和HBR恢复方面都有显著改善(双尾配对t检验，p<；0.05)。
Diffuse Optical Imaging (DOI) allows the recovery of the hemodynamic response associated with evoked brain activity. The signal is contaminated with systemic physiological interference which occurs in the superficial layers of the head as well as in the brain tissue. The back-reflection geometry of the measurement makes the DOI signal strongly contaminated by systemic interference occurring in the superficial layers. A recent development has been the use of signals from small source-detector separation (1 cm) optodes as regressors. Since those additional measurements are mainly sensitive to superficial layers in adult humans, they help in removing the systemic interference present in longer separation measurements (3 cm). Encouraged by those findings, we developed a dynamic estimation procedure to remove global interference using small optode separations and to estimate simultaneously the hemodynamic response. The algorithm was tested by recovering a simulated synthetic hemodynamic response added over baseline DOI data acquired from 6 human subjects at rest. The performance of the algorithm was quantified by the Pearson R2 coefficient and the mean square error (MSE) between the recovered and the simulated hemodynamic responses. Our dynamic estimator was also compared with a static estimator and the traditional adaptive filtering method. We observed a significant improvement (two-tailed paired t-test, p < 0.05) in both HbO and HbR recovery using our Kalman filter dynamic estimator compared to the traditional adaptive filter, the static estimator and the standard GLM technique.
登录
查看更多内容
影响因子：
3.9
作者：
Hu XS;Hong KS;Ge SS;Jeong MY
通讯作者：
Jeong MY
影响因子：
3.5
作者：
Hoshi, Yoko
通讯作者：
Hoshi, Yoko
影响因子：
3.5
作者：
Huppert, Theodore J.;Hoge, Rick D.;Boas, David A.
通讯作者：
Boas, David A.
影响因子：
3.7
作者：
GRATTON, G;CORBALLIS, PM
通讯作者：
CORBALLIS, PM
影响因子：
4.3
作者：
Diamond SG;Perdue KL;Boas DA
通讯作者：
Boas DA