用于功能近红外光谱三维成像的捆绑式光极实现
Bundled-optode implementation for 3D imaging in functional near-infrared spectroscopy.
作者信息
Nguyen Hoang-Dung, Hong Keum-Shik
机构信息
Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea.
Department of Cogno-Mechatronics Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea; School of Mechanical Engineering, Pusan National University, 2 Busandaehak-ro, Geumjeong-gu, Busan 46241, South Korea.
出版信息
Biomed Opt Express. 2016 Aug 16;7(9):3491-3507. doi: 10.1364/BOE.7.003491. eCollection 2016 Sep 1.
The paper presents a functional near-infrared spectroscopy (fNIRS)-based bundled-optode method for detection of the changes of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) concentrations. fNIRS with 32 optodes is utilized to measure five healthy male subjects' brain-hemodynamic responses to arithmetic tasks. Specifically, the coordinates of 256 voxels in the three-dimensional (3D) volume are computed according to the known probe geometry. The mean path length factor in the Beer-Lambert equation is estimated as a function of the emitter-detector distance, which is utilized for computation of the absorption coefficient. The mean values of HbO and HbR obtained from the absorption coefficient are then applied for construction of a 3D fNIRS image. Our results show that the proposed method, as compared with the conventional approach, can detect brain activity with higher spatial resolution. This method can be extended for 3D fNIRS imaging in real-time applications.
本文提出了一种基于功能近红外光谱（fNIRS）的束状光极法，用于检测氧合血红蛋白（HbO）和脱氧血红蛋白（HbR）浓度的变化。使用具有32个光极的fNIRS来测量5名健康男性受试者对算术任务的脑血流动力学反应。具体而言，根据已知的探头几何形状计算三维（3D）体积中256个体素的坐标。将比尔-朗伯方程中的平均光程长度因子估计为发射极-探测器距离的函数，该函数用于计算吸收系数。然后，将从吸收系数获得的HbO和HbR的平均值应用于构建3D fNIRS图像。我们的结果表明，与传统方法相比，所提出的方法能够以更高的空间分辨率检测脑活动。该方法可扩展用于实时应用中的3D fNIRS成像。
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