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Journal of Biomedical Optics • Open Access

Image enhancement based on <italic<in vivo</italic< hyperspectral gastroscopic images: a case study
Author(s): Xiaozhou Gu; Liqing Yao; Yunshi Zhong; Zhimin Han; Qiang Shi; Ye Fu; Changsheng Liu; Xiguang Wang; Tianyu Xie

Paper 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 <italic<ex vivo</italic< biopsies or resected tissues. We proposed an image enhancement method based on <italic<in vivo</italic< hyperspectral gastroscopic images. First, we developed a flexible gastroscopy system capable of obtaining <italic<in vivo</italic< 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.

Paper Details

Date Published: 20 May 2016
PDF: 5 pages
J. Biomed. Opt. 21(10) 101412 doi: 10.1117/1.JBO.21.10.101412
Published in: Journal of Biomedical Optics Volume 21, Issue 10
Show Author Affiliations
Xiaozhou Gu, Peking Univ. (China)
Liqing Yao, Zhongshan Hospital (China)
Yunshi Zhong, Zhongshan Hospital (China)
Zhimin Han, Peking Univ. (China)
Qiang Shi, Zhongshan Hospital (China)
Ye Fu, Peking Univ. (China)
Changsheng Liu, Peking Univ. (China)
Xiguang Wang, Peking Univ. (China)
Tianyu Xie, Peking Univ. (China)


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