Sensitivity studies and optimization of arrangements of optically pumped magnetometers in simulated magnetoencephalography
Sensitivity studies and optimization of arrangements of optically pumped magnetometers in simulated magnetoencephalography
复制标题
DOI：
10.1108/compel-09-2018-0372
复制
发表时间：
2019-05-07
影响因子：
0.7
通讯作者：
Graichen, Uwe
中科院分区：
文献类型：
--
作者：
Eichardt, Roland;Strohmeier, Daniel;Graichen, Uwe
目的利用一种新型光泵磁强计传感器模型对其在脑磁图领域的应用进行了仿真研究。研究了传感器距离和方位对测量信息和对神经元源灵敏度的影响。此外，本文使用组合优化方法传感器放置测量自发活动在枕皮质区域。设计/方法/方法本文研究了传感器距离和方向对皮质源和测量信息灵敏度的影响。采用边界元法建立了头部的三室室模型。对于传感器设置优化，提出了一种组合优化方案。结果传感器与源的距离对灵敏度和检索信息有显著影响。通过有效地避免位置冲突，优化了四个传感器的具体安排，用于测量头部枕部的自发活动。对一种新型光泵磁强计的传感器距离和方向效应进行了具体评价。介绍了一种用于传感器优化的离散优化方案。所提出的方法也适用于其他传感器表征和优化问题。这一发现对新型传感器的开发有重大贡献。
Purpose The purpose of this paper is to present a simulation study using a model of a new optically pumped magnetometer sensor for application in the field of magnetoencephalography. The effects of sensor distance and orientation on the measurement information and the sensitivity to neuronal sources are investigated. Further, this paper uses a combinatorial optimization approach for sensor placement to measure spontaneous activity in the region of the occipital cortex. Design/methodology/approach This paper studies the effects of sensor distance and orientation on sensitivity to cortical sources and measurement information. A three-compartment model of the head, using the boundary element method, is applied. For sensor setup optimization, a combinatorial optimization scheme is developed. Findings The sensor distance to sources considerably affects the sensitivity and the retrieved information. A specific arrangement of four sensors for measuring spontaneous activity over the occipital part of the head is optimized by effectively avoiding position conflicts. Originality/value Effects of sensor distance and orientation are specifically evaluated for a new optically pumped magnetometer. A discrete optimization scheme for sensor optimization is introduced. The presented methodology is applicable for other sensor characterization and optimization problems. The findings contribute significantly to the development of new sensors.