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20 May 2016 Image enhancement based on in vivo hyperspectral gastroscopic images: a case study
Liqing Yao, Xiaozhou Gu, Yunshi Zhong, Zhimin Han, Qiang Shi, Ye Fu, Changsheng Liu, Xiguang Wang, Tianyu Xie
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Journal of Biomedical Optics, Vol. 21, Issue 10, 101412 (May 2016). https://doi.org/10.1117/1.JBO.21.10.101412
Abstract
Hyperspectral imaging (HSI) has been recognized as a powerful tool for noninvasive disease detection in the gastrointestinal field. However, most of the studies on HSI in this field have involved ex vivo biopsies or resected tissues. We proposed an image enhancement method based on in vivo hyperspectral gastroscopic images. First, we developed a flexible gastroscopy system capable of obtaining in vivo hyperspectral images of different types of stomach disease mucosa. Then, depending on a specific object, an appropriate band selection algorithm based on dependence of information was employed to determine a subset of spectral bands that would yield useful spatial information. Finally, these bands were assigned to be the color components of an enhanced image of the object. A gastric ulcer case study demonstrated that our method yields higher color tone contrast, which enhanced the displays of the gastric ulcer regions, and that it will be valuable in clinical applications.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Liqing Yao, Xiaozhou Gu, Yunshi Zhong, Zhimin Han, Qiang Shi, Ye Fu, Changsheng Liu, Xiguang Wang, and Tianyu Xie "Image enhancement based on in vivo hyperspectral gastroscopic images: a case study," Journal of Biomedical Optics 21(10), 101412 (20 May 2016). https://doi.org/10.1117/1.JBO.21.10.101412
Published: 20 May 2016
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Cited by 20 scholarly publications and 1 patent.
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KEYWORDS
Image enhancement
In vivo imaging
Hyperspectral imaging
Tissues
Charge-coupled devices
Image analysis
Imaging systems
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