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Spectroscopic measurement of Adipose Tissue Thickness and comparison with Ultrasound Imaging

机译:脂肪组织厚度的光谱测量和与超声成像的比较

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Near-infrared spectroscopy (MRS) is widely applied for applications monitoring skeletal muscle oxygenation. However, this method is obstructed by the subcutaneous adipose tissue thickness (ATT) which might vary between < 1 mm to more than 12 mm. Though diffuse optical imaging can be applied to measure ATT, the objective here is to get this measure from spectroscopic data of a single source-detector distance. For the measurement of the optical lipid signal we used a broad band spatially resolved system (SRS), which is based on measurements of the wavelength dependence of the attenuation A for source detector distances ρ between 29 mm and 39 mm. Ultrasound images served as an anatomical reference of the lipid layer. The measurements were taken on 5 different muscle groups of 20 healthy volunteers, each for left and right limbs, e.g. vastus medialis, vastus lateralis and gastrocnemius muscle on the leg and ventral forearm muscles and biceps brachii muscle on the arm. Different analysis strategies were tested for the best calculation of ATT. There is a good non-linear correlation between optical lipid signal and ultrasound data, with an overall error in ATT prediction of about 0.5 mm. This finding is supported experimentally by additional MRI measurements as well as a multi-layer Monte Carlo (MC) model. Based on this data of the ATT thickness, a newly developed algorithm which exploits the wavelength dependence of the slope in attenuation with respect to source-detector distance and MC simulation for these parameters as a function of absorption and scattering coefficients delivers a considerably better fit of reflectance spectra when fitting haemoglobin concentrations. Implications for the monitoring of muscle oxygen saturation are discussed.
机译:近红外光谱(MRS)已广泛应用于监视骨骼肌氧合的应用。但是,该方法受到皮下脂肪组织厚度(ATT)的阻碍,该厚度可能在<1 mm至大于12 mm之间变化。尽管可以将漫射光学成像应用于ATT的测量,但此处的目的是从单个源探测器距离的光谱数据中获得此度量。对于光学脂质信号的测量,我们使用了宽带空间分辨系统(SRS),该系统基于对源探测器距离ρ在29 mm和39 mm之间的衰减A的波长依赖性进行测量。超声图像用作脂质层的解剖参考。对20位健康志愿者的5个不同的肌肉群进行了测量,每个肌肉群分别针对左右肢,例如腿部内侧股骨,外侧股外侧肌和腓肠肌,臂部上腹部前臂肌肉和肱二头肌。测试了不同的分析策略以获得ATT的最佳计算。光学脂质信号和超声数据之间存在良好的非线性相关性,ATT预测中的总误差约为0.5 mm。这一发现在实验上得到了额外的MRI测量以及多层蒙特卡洛(MC)模型的支持。根据ATT厚度的数据,一种新开发的算法利用衰减斜率的波长依赖性(相对于源-探测器距离)以及这些参数作为吸收系数和散射系数的函数的MC模拟,可以更好地拟合拟合血红蛋白浓度时的反射光谱。讨论了监测肌肉氧饱和度的意义。

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