Hyperspectral imaging with near-infrared-enabled mobile phones for tissue oximetry
Hyperspectral imaging with near-infrared-enabled mobile phones for tissue oximetry
复制标题
使用具有近红外功能的手机进行高光谱成像，用于组织血氧测定
DOI：
10.1117/12.2290870
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Pfefer, Joshua
中科院分区：
文献类型：
--
作者：
Lin, Jonathan;Ghassemi, Pejhman;Chen, Yu;Pfefer, Joshua
高光谱反射成像（HRI）是一种新兴的临床工具，用于表征血液灌注和氧合的空间和时间变化，用于烧伤评估，伤口愈合，视网膜检查和术中组织活力评估等应用。由于基于临床HRI的血氧计通常使用近红外（NIR）光，因此支持NIR的移动的电话可为未来的床旁设备提供有用的平台。此外，在移动的电话上的定量NIR成像可以显著地增加用于低资源设置的医疗诊断的可用性和可访问性。我们已经评估了基于手机的近红外血氧定量成像的潜力，并阐明了使用来自两个不同制造商的设备以及科学CCD影响性能的因素。宽带光源和液晶可调谐滤波器用于在650至1000 nm的10 nm波段成像。光谱灵敏度测量表明，移动的手机与标准的近红外阻挡过滤器有最小的响应超过700纳米，而一个修改后的手机显示灵敏度为800纳米和另一个1000纳米。红色像素通道显示出最高达800 nm的最大灵敏度，而所有通道在较长波长处提供基本上相等的灵敏度。使用一氧化碳血氧计参考血氧水平。使用装有不同氧饱和度水平的血红蛋白溶液的比色皿进行HRI测量。对于低于900 nm的波长，观察到用移动的手机和CCD相机测量的吸收光谱之间的良好一致性。饱和度估计显示，CCD和手机的均方根误差分别为5.2%和4.5%。总体而言，这项工作提供了强有力的证据，证明移动的手机有潜力为血氧测定等应用提供近红外定量光谱成像，并对影响性能的因素以及性能评估的测试方法产生了实际的见解。
Hyperspectral reflectance imaging (HRI) is an emerging clinical tool for characterizing spatial and temporal variations in blood perfusion and oxygenation for applications such as burn assessment, wound healing, retinal exams and intraoperative tissue viability assessment. Since clinical HRI-based oximeters often use near-infrared (NIR) light, NIR-enabled mobile phones may provide a useful platform for future point-of-care devices. Furthermore, quantitative NIR imaging on mobile phones may dramatically increase the availability and accessibility of medical diagnostics for low-resource settings. We have evaluated the potential for phone-based NIR oximetry imaging and elucidated factors affecting performance using devices from two different manufacturers, as well as a scientific CCD. A broadband light source and liquid crystal tunable filter were used for imaging at 10 nm bands from 650 to 1000 nm. Spectral sensitivity measurements indicated that mobile phones with standard NIR blocking filters had minimal response beyond 700 nm, whereas one modified phone showed sensitivity to 800 nm and another to 1000 nm. Red pixel channels showed the greatest sensitivity up to 800 nm, whereas all channels provided essentially equivalent sensitivity at longer wavelengths. Referencing of blood oxygenation levels was performed with a CO-oximeter. HRI measurements were performed using cuvettes filled with hemoglobin solutions of different oxygen saturation levels. Good agreement between absorbance spectra measured with mobile phone and a CCD cameras were seen for wavelengths below 900 nm. Saturation estimates showed root-mean-squared-errors of 5.2% and 4.5% for the CCD and phone, respectively. Overall, this work provides strong evidence of the potential for mobile phones to provide quantitative spectral imaging in the NIR for applications such as oximetry, and generates practical insights into factors that impact performance as well as test methods for performance assessment.
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DOI：
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