title: Image enhancement based on in vivo hyperspectral gastroscopic images: a case study.
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.
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Xiaozhou
authors.initials: X
authors.lastname: Gu
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Zhimin
authors.initials: Z
authors.lastname: Han
authors.affiliation: Zhongshan Hospital, Endoscopy Center, 180 Fenglin Road, Xuhui, Shanghai 200032, China.
authors.forename: Liqing
authors.initials: L
authors.lastname: Yao
authors.affiliation: Zhongshan Hospital, Endoscopy Center, 180 Fenglin Road, Xuhui, Shanghai 200032, China.
authors.forename: Yunshi
authors.initials: Y
authors.lastname: Zhong
authors.affiliation: Zhongshan Hospital, Endoscopy Center, 180 Fenglin Road, Xuhui, Shanghai 200032, China.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Shi
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Ye
authors.initials: Y
authors.lastname: Fu
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Changsheng
authors.initials: C
authors.lastname: Liu
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Xiguang
authors.initials: X
authors.lastname: Wang
authors.affiliation: Peking University, Department of Biomedical Engineering, College of Engineering, Liaokaiyuan Building, Room 2-301, Haidian, Beijing 100871, China.
authors.forename: Tianyu
authors.initials: T
authors.lastname: Xie
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D005753:Gastric Mucosa / Q000473:pathology; D005773:Gastroscopy / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D013057:Spectrum Analysis / Q000379:methods*; D013276:Stomach Ulcer / Q000473:pathology