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首页> 外文会议>Conference on Optical Diagnostics and Sensing IV; 20040127; San Jose,CA; US >Modeling of a three-source perfusion and blood oxygenation sensor for transplant monitoring using Multi-Layer Monte Carlo code
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Modeling of a three-source perfusion and blood oxygenation sensor for transplant monitoring using Multi-Layer Monte Carlo code

机译：使用多层蒙特卡洛代码对用于移植监测的三源灌注和血氧传感器建模

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A Multi-Layer Monte Carlo (MLMC) model was developed to predict the results of in vivo blood perfusion and oxygenation measurement of transplanted organs as measured by an indwelling optical sensor. A sensor has been developed which uses three-source excitation in the red and infrared ranges (660, 810, 940 nm). In vitro data was taken using this sensor by changing the oxygenation state of whole blood and passing it through a single-tube pump system wrapped in bovine liver tissue. The collected data showed that the red signal increased as blood oxygenation increased and infrared signal decreased. The center wavelength of 810 nanometers was shown to be quite indifferent to blood oxygenation change. A model was developed using MLMC code that sampled the wavelength range from 600-1000 nanometers every 6 nanometers. Using scattering and absorption data for blood and liver tissue within this wavelength range, a five-layer model was developed (tissue, clear tubing, blood, clear tubing, tissue). The theoretical data generated from this model was compared to the in vitro data and showed good correlation with changing blood oxygenation.
机译：建立了多层蒙特卡洛（MLMC）模型，以预测通过留置光学传感器测量的移植器官的体内血液灌注和氧合测量结果。已开发出一种传感器，该传感器在红色和红外范围（660、810、940 nm）中使用三源激发。使用该传感器通过改变全血的氧合状态并使之通过包裹在牛肝组织中的单管泵系统来获取体外数据。收集的数据表明，红色信号随着血液氧合的增加而增加，而红外信号则下降。 810纳米的中心波长显示出与血液氧合变化无关。使用MLMC代码开发了一个模型，该模型每6纳米对600-1000纳米的波长范围进行采样。利用该波长范围内血液和肝组织的散射和吸收数据，开发了一个五层模型（组织，透明管，血液，透明管，组织）。从该模型产生的理论数据与体外数据进行了比较，并显示出与血液中氧合变化的良好相关性。

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