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Scattering and absorption measurements of cervical tissues measures using low cost multi-spectral imaging

机译:使用低成本多光谱成像对宫颈组织进行散射和吸收测量

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Cervical cancer is a leading cause of death for women in low resource settings. In order to better detect cervical dysplasia, a low cost multi-spectral colposcope was developed utilizing low costs LEDs and an area scan camera. The device is capable of both traditional colposcopic imaging and multi-spectral image capture. Following initial bench testing, the device was deployed to a gynecology clinic where it was used to image patients in a colposcopy setting. Both traditional colposcopic images and spectral data from patients were uploaded to a cloud server for remote analysis. Multi-spectral imaging (-30 second capture) took place before any clinical procedure; the standard of care was followed thereafter. If acetic acid was used in the standard of care, a post-acetowhitening colposcopic image was also captured. In analyzing the data, normal and abnormal regions were identified in the colposcopic images by an expert clinician. Spectral data were fit to a theoretical model based on diffusion theory, yielding information on scattering and absorption parameters. Data were grouped according to clinician labeling of the tissue, as well as any additional clinical test results available (Pap, HPV, biopsy). Altogether, N=20 patients were imaged in this study, with 9 of them abnormal. In comparing normal and abnormal regions of interest from patients, substantial differences were measured in blood content, while differences in oxygen saturation parameters were more subtle. These results suggest that optical measurements made using low cost spectral imaging systems can distinguish between normal and pathological tissues.
机译:在资源贫乏地区,宫颈癌是导致女性死亡的主要原因。为了更好地检测宫颈不典型增生,开发了一种低成本的多光谱阴道镜,它使用了低成本的LED和面扫描相机。该设备能够进行传统的阴道镜成像和多光谱图像捕获。经过初步的台式测试,该设备被部署到妇科诊所,在阴道镜设置中用于对患者进行成像。来自患者的传统阴道镜图像和光谱数据都被上传到云服务器进行远程分析。在任何临床程序之前进行了多光谱成像(-30秒捕获);此后遵循护理标准。如果在护理标准中使用乙酸,则还会捕获到乙酰化美白后的阴道镜图像。在分析数据时,由专业的临床医生在阴道镜图像中识别出正常和异常区域。光谱数据适合基于扩散理论的理论模型,产生有关散射和吸收参数的信息。根据组织的临床医生标记以及可用的任何其他临床测试结果(巴氏,HPV,活检)将数据分组。在这项研究中,总共对20例患者进行了成像,其中9例异常。在比较患者的正常和异常关注区域时,测得的血液含量存在实质性差异,而血氧饱和度参数的差异更为微妙。这些结果表明,使用低成本光谱成像系统进行的光学测量可以区分正常组织和病理组织。

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