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腹部出血的近红外光场分布模型仿真

Model simulation of near-infrared light field distribution for abdominal bleeding

作者: 王红珂  王宏  张言  江莹旭  刘玉冰  李韪韬 
单位:南京航空航天大学自动化学院生物医学工程系(南京211100)
关键词: Monte  Carlo仿真;近红外光谱;腹部检测;检测深度;阵列式分布 
分类号:R318.04
出版年·卷·期(页码):2016·35·5(448-454)
摘要:

目的 针对腹部闭合性损伤和腹部出血诊断的困难,近红外光谱技术是一种无创伤、无污染的腹部出血检测的新方法。 方法 采用Monte Carlo方法仿真近红外光场分布模型。首先,建立了腹部多层组织的生物学模型。然后,为探究腹腔体液和血液对光子的吸收情况,对正常腹部和腹部出血时的光强信号进行了仿真模拟。通过探究光源和探测器间距不同时的光强分布来确定腹部出血位置。同时,为确定出血量对检测信号的影响和近红外光在腹部的检测深度,还对出血体积和检测深度的规律进行探究。结果 在模拟腹腔体液和血液对光子吸收时,二者对光子的吸收有较大区别。出血位置的仿真结果表明,当出血位置在光源和探测器连线的中心位置靠光源侧时检测深度最深。近红外光在腹部的检测深度为48mm。在一定范围内,光强信号与出血体积成反比。结论 近红外光谱技术可以实现对浅层腹部出血进行检测,并且具有较好的灵敏度。

Objective In view of the difficulty in diagnosis of the closed injury of abdomen and the abdominal bleeding, near-infrared spectroscopy is a non invasive,non-polluting new method for abdominal bleeding detection. Methods Monte Carlo method was adopted to simulate the near-infrared light field distribution model. First of all, we established the abdominal multi-layered biology model. Then, in order to explore the photon absorption between the hydrops abdominis and the blood, a simulation of the light intensity signal between the normal abdomen and the abdominal hemorrhage was made. To determine the location of abdominal bleeding, the article studied the light intensity distribution when the distance between the source and the detector was different. Meanwhile, the article also studied the law of the bleeding volume and the detecting depth to determine the influence of the bleeding on the detection signal and the detecting depth of near-infrared light in the belly. Results In the simulation of seroperitoneum and blood on the absorption of a photon, there was a great difference on the absorption of photons. The simulation results of the bleeding site showed that the detecting depth at the central position of the source and detector line and on the side of the source is the deepest. The detecting depth of abdominal bleeding is 48mm. With a given range, light intensity was in inverse proportion to bleeding volume. Conclusions Near infrared spectrum technology can detect the shallow abdominal bleeding with good sensitivity.

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