An average enumeration method of hyperspectral imaging data for quantitative evaluation of medical device surface contamination

Hanh N. D. Le Moon S. Kim Jeeseong Hwang Yi Yang Paweena U Thainual Jin U. Kang; Do-Hyun Kim

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An average enumeration method of hyperspectral imaging data for quantitative evaluation of medical device surface contamination

机译：用于医疗器械表面污染定量评估的高光谱成像数据的平均枚举方法

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We propose a quantification method called Mapped Average Principal component analysis Score (MAPS) to enumerate the contamination coverage on common medical device surfaces. The method was adapted from conventional Principal Component Analysis (PCA) on non-overlapped regions of a full frame hyperspectral image to resolve the percentage of contamination from the substrate. The concept was proven by using a controlled contamination sample with artificial test soil and color simulating organic mixture, and was further validated using a bacterial system including biofilm on stainless steel surface. We also validate the results of MAPS with other statistical spectral analysis including Spectral Angle Mapper (SAM). The proposed method provides an alternative quantification method for hyperspectral imaging data, which can be easily implemented by basic PCA analysis.

机译：我们提出一种称为映射平均主成分分析评分（MAPS）的量化方法，以枚举常见医疗器械表面的污染范围。该方法是根据全帧高光谱图像的非重叠区域上的常规主成分分析（PCA）改编而成的，以解决来自基板的污染百分比。该概念通过使用带有人工测试土壤和颜色模拟有机混合物的受控污染样品得到证明，并使用包括不锈钢表面生物膜的细菌系统进一步验证。我们还使用其他统计光谱分析（包括光谱角映射器（SAM））验证了MAPS的结果。所提出的方法为高光谱成像数据提供了另一种量化方法，可以通过基本的PCA分析轻松实现。

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《Biomedical Optics Express》 |2014年第10期|共15页
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Hanh N. D. Le Moon S. Kim Jeeseong Hwang Yi Yang Paweena U Thainual Jin U. Kang; Do-Hyun Kim;
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6. An average enumeration method of hyperspectral imaging data for quantitative evaluation of medical device surface contamination [O] . Hanh N. D. Le, Moon S. Kim, Jeeseong Hwang, 2014

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An average enumeration method of hyperspectral imaging data for quantitative evaluation of medical device surface contamination

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