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Proceedings Paper

A blue-white light imaging method for enhancing the capillaries in mucous tissues in vivo
Author(s): Jiamin Xia; Huan Wang; Bo Yuan; Liqiang Wang
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Paper Abstract

Traditional endoscopes can only display common images of diseased tissues and difficultly detect early canceration in the digestive tract. With the continuous development of endoscopic technology, Fuji Intelligent Chromo Endoscopy (FICE) is widely used as a kind of simulated staining endoscopy technology. Compared to common images, FICE enhances the contrast of the image and can show the fine structure of the digestive tract mucosa more clearly. Because the white light illuminates the object, FICE is hard to observe capillaries in the superficial layers of the mucosa. In this paper, a bluewhite light imaging method is proposed, which combine a mixed light of a narrow-band blue light and a white light to illuminate the object with FICE technology to enhance the capillaries and maintain the images with certain brightness and background characteristics. Through the adjustment of the luminous intensity of blue light and white light, the optimal light intensity ratio range are determined by two evaluation indicators: the image’s pixel value difference and the blood vessel quantity difference. The results show that the deficiency of FICE technology can be compensated when the image’s pixel value difference is below 0.25 and the blood vessel quantity difference is below 0.1.

Paper Details

Date Published: 18 December 2019
PDF: 6 pages
Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 113382X (18 December 2019); doi: 10.1117/12.2547825
Show Author Affiliations
Jiamin Xia, State Key Lab. of Modern Optical Instrumentation (China)
Huan Wang, State Key Lab. of Modern Optical Instrumentation (China)
Bo Yuan, State Key Lab. of Modern Optical Instrumentation (China)
Liqiang Wang, State Key Lab. of Modern Optical Instrumentation (China)


Published in SPIE Proceedings Vol. 11338:
AOPC 2019: Optical Sensing and Imaging Technology
John E. Greivenkamp; Jun Tanida; Yadong Jiang; HaiMei Gong; Jin Lu; Dong Liu, Editor(s)

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