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Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper.
Journal of Biomedical Optics ( IF 3.5 ) Pub Date : 2020-06-01 , DOI: 10.1117/1.jbo.25.6.066005
Ningliang Liu 1 , Yaxiong Guo 1 , Houmin Jiang 2 , Weisong Yi 1
Affiliation  

SIGNIFICANCE Hyperspectral imaging (HSI) is an emerging optical technique that has a double function of spectroscopy and imaging. AIM Near-infrared hyperspectral imaging (NIR-HSI) (900 to 1700 nm) with the help of chemometrics was investigated for gastric cancer diagnosis. APPROACH Mean spectra and standard deviation of normal and cancerous pixels were extracted. Principal component analysis (PCA) was used to compress the dimension of hypercube data and select the optimal wavelengths. Moreover, spectral angle mapper (SAM) was utilized as chemometrics to discriminate gastric cancer from normal. RESULTS Major spectral difference of cancerous and normal gastric tissue was observed around 975, 1215, and 1450 nm by comparison. A total of six wavelengths (i.e., 975, 1075, 1215, 1275, 1390, and 1450 nm) were then selected as optimal wavelengths by PCA. The accuracy using SAM is up to 90% according to hematoxylin-eosin results. CONCLUSIONS These results suggest that NIR-HSI has the potential as a cutting-edge optical diagnostic technique for gastric cancer diagnosis with suitable chemometrics.

中文翻译:

使用具有主成分分析和光谱角度映射器的高光谱成像进行胃癌诊断。

意义 高光谱成像 (HSI) 是一种新兴的光学技术,具有光谱学和成像双重功能。目的 在化学计量学的帮助下,近红外高光谱成像 (NIR-HSI)(900 至 1700 nm)被研究用于胃癌诊断。方法提取正常和癌性像素的平均光谱和标准偏差。主成分分析(PCA)用于压缩超立方体数据的维度并选择最佳波长。此外,光谱角度映射器(SAM)被用作化学计量学来区分胃癌和正常胃癌。结果 通过比较,在 975、1215 和 1450 nm 附近观察到癌变和正常胃组织的主要光谱差异。然后通过 PCA 选择总共六个波长(即,975、1075、1215、1275、1390 和 1450 nm)作为最佳波长。根据苏木精-伊红结果,使用 SAM 的准确度高达 90%。结论 这些结果表明,NIR-HSI 具有作为具有合适化学计量学的胃癌诊断尖端光学诊断技术的潜力。
更新日期:2020-06-01
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