HYPERSPECTRAL IMAGING AND SPA-LDA QUANTITATIVE ANALYSIS FOR DETECTION OF COLON CANCER TISSUE

作者：Yuan, X.; Zhang, D.^*; Wang, Ch.; Dai, B.; Zhao, M.; Li, B.

来源：Journal of Applied Spectroscopy, 2018, 85(2): 307-312.

DOI：10.1007/s10812-018-0649-x

• colon cancer detection
• image classification
• successive projection algorithm - linear discrimination analysis
• Vis-NIR hyperspectral imaging

Hyperspectral imaging (HSI) has been demonstrated to provide a rapid, precise, and noninvasive method for cancer detection. However, because HSI contains many data, quantitative analysis is often necessary to distill information useful for distinguishing cancerous from normal tissue. To demonstrate that HSI with our proposed algorithm can make this distinction, we built a Vis-NIR HSI setup and made many spectral images of colon tissues, and then used a successive projection algorithm (SPA) to analyze the hyperspectral image data of the tissues. This was used to build an identification model based on linear discrimination analysis (LDA) using the relative reflectance values of the effective wavelengths. Other tissues were used as a prediction set to verify the reliability of the identification model. The results suggest that Vis-NIR hyperspectral images, together with the spectroscopic classification method, provide a new approach for reliable and safe diagnosis of colon cancer and could lead to advances in cancer diagnosis generally.

• 出版日期2018-5
• 单位上海理工大学