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Interleaved imaging of cerebral hemodynamics and blood flow index to monitor ischemic stroke and treatment in rat by volumetric diffuse optical tomography

机译:体积弥散光学断层扫描在脑血流动力学和血流指数的交错成像中监测大鼠缺血性中风和治疗

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摘要

Diffuse optical tomography (DOT) has been used by several groups to assess cerebral hemodynamics of cerebral ischemia in humans and animals. In this study, we combined DOT with an indocyanine green (ICG)-tracking method to achieve interleaved images of cerebral hemodynamics and blood flow index (BFI) using two middle cerebral artery occlusion (MCAO) rat models. To achieve volumetric images with high-spatial resolution, we first integrated a depth compensation algorithm (DCA) with a volumetric mesh-based rat head model to generate three-dimensional (3D) DOT on a rat brain atlas. Then, the experimental DOT data from two rat models were collected using interleaved strategy for cerebral hemodynamics and BFI during and after ischemic stroke, with and without a thrombolytic therapy for the embolic MCAO model. The acquired animal data were further analyzed using the integrated rat-atlas-guided DOT method to form time-evolving 3D images of both cerebral hemodynamics and BFI. In particular, we were able to show and identify therapeutic outcomes of a thrombolytic treatment applied to the embolism-induced ischemic model. This paper demonstrates that volumetric DOT is capable of providing high-quality, interleaved images of cerebral hemodynamics and blood perfusion in small animals during and after ischemic stroke, with excellent 3D visualization and quantifications.
机译:几个小组已经使用了漫射光学层析成像(DOT)来评估人和动物脑缺血的脑血流动力学。在这项研究中,我们将DOT与吲哚菁绿(ICG)跟踪方法结合使用两个大脑中动脉闭塞(MCAO)大鼠模型获得了脑血流动力学和血流指数(BFI)的交错图像。为了获得具有高空间分辨率的体积图像,我们首先将深度补偿算法(DCA)与基于体积网格的大鼠头部模型集成在一起,以在大鼠脑图集上生成三维(3D)DOT。然后,使用交错策略针对缺血性中风期间和之后脑血流动力学和BFI收集来自两个大鼠模型的实验DOT数据,对栓塞MCAO模型进行或不进行溶栓治疗。使用集成的大鼠地图集指导的DOT方法进一步分析获取的动物数据,以形成大脑血流动力学和BFI随时间变化的3D图像。特别是,我们能够显示和确定溶栓治疗方法在栓塞诱导的缺血模型中的治疗效果。本文证明了体积DOT具有出色的3D可视化和定量功能,能够为缺血性中风期间和之后的小动物提供高质量的,交错的大脑血流动力学和血液灌注图像。

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