Jelzow Alexander, Wabnitz Heidrun, Tachtsidis Ilias, Kirilina Evgeniya, Brühl Rüdiger, Macdonald Rainer
Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2-12, 10587, Berlin, Germany.
University College London, Dept. Med. Physics and Bioengineering, Gower Street, London WC1E 6BT, UK.
Biomed Opt Express. 2014 Apr 10;5(5):1465-82. doi: 10.1364/BOE.5.001465. eCollection 2014 May 1.
In functional near-infrared spectroscopy (fNIRS) superficial hemodynamics can mask optical signals related to brain activity. We present a method to separate superficial and cerebral absorption changes based on the analysis of changes in moments of time-of-flight distributions and a two-layered model. The related sensitivity factors were calculated from individual optical properties. The method was validated on a two-layer liquid phantom. Absorption changes in the lower layer were retrieved with an accuracy better than 20%. The method was successfully applied to in vivo data and compared to the reconstruction of homogeneous absorption changes.
在功能近红外光谱(fNIRS)中,浅表血流动力学可能会掩盖与大脑活动相关的光信号。我们提出了一种基于飞行时间分布矩变化分析和双层模型来分离浅表和大脑吸收变化的方法。相关的灵敏度因子是根据个体光学特性计算得出的。该方法在双层液体模型上得到了验证。下层的吸收变化以优于20%的精度被检索出来。该方法成功应用于体内数据,并与均匀吸收变化的重建进行了比较。