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Characterization of a hybrid diffuse correlation spectroscopy and time-resolved near-infrared spectroscopy system for real-time monitoring of cerebral blood flow and oxygenation

机译:用于实时监测脑血流和氧合的混合扩散相关光谱和时间分辨近红外光谱系统的表征

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摘要

The combination of near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS) offers the ability to provide real-time monitoring of cerebral oxygenation, blood flow and oxygen consumption. However, measuring these parameters accurately requires depth-sensitive techniques that can remove the effects of signal contamination from extracerebral tissues. Towards this goal, we developed and characterized a hybrid DCS/time-resolved (TR)-NIRS system. Both systems acquire data at three source-detector distances (SDD: 7, 20 and 30 mm) to provide depth sensitivity. The TR-NIRS system uses three pulsed lasers (760, 810, and 830 nm) to quantify tissue optical properties, and DCS uses one continuous-wave, long coherence length (>5 m) laser (785 nm) for blood flow monitoring. The stability of the TR-NIRS system was characterized by continuously measuring the instrument response function (IRF) for four hours, and a warm-up period of two hours was required to reduce the coefficient of variation of the extracted optical properties to < 2%. The errors in the measured optical properties were <10% at SDDs of 20 and 30 mm; however, the error at 7 mm was greater due to the effects of the IRF. The number of DCS detectors at each SDD and the minimum count-rate (20 kHz per detector resulting in <10% uncertainty in the extracted blood flow index) were optimized using a homogenous phantom. The depth sensitivity was assessed using a two-layer phantom, with the flow rate in the bottom layer altered to mimic cerebral blood flow.
机译:近红外光谱(NIRS)和扩散相关光谱(DCS)的组合提供了对大脑氧合,血流和氧消耗进行实时监控的能力。但是,准确地测量这些参数需要深度敏感技术,该技术可以消除来自脑外组织的信号污染的影响。为了实现这一目标,我们开发并表征了混合DCS /时间分辨(TR)-NIRS系统。两种系统都以三个源探测器距离(SDD:7、20和30 mm)采集数据,以提供深度灵敏度。 TR-NIRS系统使用三个脉冲激光(760、810和830 nm)来量化组织的光学特性,而DCS使用一个连续波,长相干长度(> 5 m)激光(785 nm)来监测血流。 TR-NIRS系统的稳定性是通过连续测量仪器响应函数(IRF)四个小时来表征的,并且需要两个小时的预热时间才能将提取的光学特性的变化系数降低到<2% 。在20和30 mm的SDD下,测得的光学性能的误差小于<10%。然而,由于IRF的影响,在7mm处的误差更大。使用均质体模优化了每个SDD上的DCS检测器的数量和最小计数率(每个检测器20 kHz,导致提取的血流指数不确定度小于10%)。使用两层体模评估深度敏感性,改变底层的流速以模拟脑血流。

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  • 会议地点 San Francisco CA(US)
  • 作者单位

    Imaging Division, Lawson Health Research Institute, 268 Grosvenor Street, London, ON Canada N6A 4V2,Department of Medical Biophysics, Western University, 1151 Richmond Street North, London, ON Canada N6A 5C1;

    Imaging Division, Lawson Health Research Institute, 268 Grosvenor Street, London, ON Canada N6A 4V2,Department of Medical Biophysics, Western University, 1151 Richmond Street North, London, ON Canada N6A 5C1;

    Imaging Division, Lawson Health Research Institute, 268 Grosvenor Street, London, ON Canada N6A 4V2,Department of Medical Biophysics, Western University, 1151 Richmond Street North, London, ON Canada N6A 5C1;

    Imaging Division, Lawson Health Research Institute, 268 Grosvenor Street, London, ON Canada N6A 4V2,Department of Medical Biophysics, Western University, 1151 Richmond Street North, London, ON Canada N6A 5C1;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    near-infrared spectroscopy; time-resolved; diffuse correlation spectroscopy; multi-distance; hybrid;

    机译:近红外光谱时间解决扩散相关光谱多距离杂种;

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