Leung Terence S, Tachtsidis Ilias, Tisdall Martin, Smith Martin, Delpy David T, Elwell Clare E
Department of Medical Physics, University College London, London, UK.
Appl Opt. 2007 Apr 1;46(10):1604-14. doi: 10.1364/ao.46.001604.
To investigate the accuracy of measuring cerebral blood flow (CBF) using a bolus injection of Indocyanine Green (ICG) detected by near-infrared spectroscopy in adult human heads, simulations were performed using a two-layered model representing the extracerebral and intracerebral layers. Modeled optical data were converted into tissue ICG concentration using either the one-detector modified Beer-Lambert law (MBLL) method, or the two-detector partial path-length (PPL) method. The CBFs were estimated using deconvolution and blood flow index techniques. Using the MBLL method, the CBFs were significantly underestimated but the PPL method improved their accuracy and robustness, especially when used as relative measures. The dispersion of the arterial input function also affected the CBF estimates.
为研究在成人大脑中使用近红外光谱法检测通过团注吲哚菁绿（ICG）来测量脑血流量（CBF）的准确性，使用代表脑外和脑内两层的双层模型进行了模拟。使用单探测器修正比尔-朗伯定律（MBLL）方法或双探测器部分路径长度（PPL）方法将建模的光学数据转换为组织ICG浓度。使用去卷积和血流指数技术估计CBF。使用MBLL方法时，CBF被显著低估，但PPL方法提高了其准确性和稳健性，尤其是用作相对测量时。动脉输入函数的离散度也影响CBF估计。
