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Separation of indocyanine green boluses in the human brain and scalp based on time-resolved in-vivo fluorescence measurements

机译:基于时间分辨的体内荧光测量,分离人脑和头皮中的吲哚菁绿丸

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摘要

Non-invasive detection of fluorescence from the optical tracer indocyanine green is feasible in the adult human brain when employing a time-domain technique with picosecond resolution. A fluorescence-based assessment may offer higher signal-to-noise ratio when compared to bolus tracking relying on changes in time-resolved diffuse reflectance. The essential challenge is to discriminate the fluorescence originating from the brain from contamination by extracerebral fluorescence and hence to reconstruct the bolus kinetics; however, a method to reliably perform the necessary separation is missing. We present a novel approach for the decomposition of the fluorescence contributions from the two tissue compartments. The corresponding sensitivity functions pertaining to the brain and to the extracerebral compartment are directly derived from the in-vivo measurement. This is achieved by assuming that during the initial and the late phase of bolus transit the fluorescence signal originates largely from one of the compartments. Solving the system of linear equations allows one to approximate time courses of a bolus for each compartment. We applied this method to repetitive measurements on two healthy subjects with an overall 34 boluses. A reconstruction of the bolus kinetics was possible in 62% of all cases.
机译:当使用具有皮秒分辨率的时域技术时,在成年人类大脑中从光学示踪剂吲哚菁绿无荧光检测荧光是可行的。与依靠时间分辨漫反射率变化的推注跟踪相比,基于荧光的评估可能会提供更高的信噪比。根本的挑战是区分大脑中的荧光与脑外荧光的污染,从而重建推注动力学。但是,缺少可靠地执行必要分离的方法。我们提出了一种新的方法,用于分解来自两个组织隔室的荧光。与大脑和脑室外区有关的相应灵敏度函数直接从体内测量得出。这是通过假设在大剂量转运的初始阶段和晚期阶段,荧光信号主要来自隔室之一来实现的。求解线性方程组,可以近似估计每个隔室的推注时间过程。我们将这种方法应用于对两个健康受试者的重复测量,总共进行了34次推注。在所有病例中有62%可以重建推注动力学。

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