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Proceedings Paper

Bronchoscopic fluorescence image enhancement using digital image processing techniques
Author(s): Buhong Li; Shusen Xie; Zukang Lu
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Paper Abstract

Base on the analysis of the characteristics of bronchoscopic fluorescence image, four kinds of digital image processing (DIP) techniques are presented to enhance the contrast of fluorescence image between early lung cancer and surrounding normal tissues. Firstly, nearest neighbor averaging method is used to smooth noise that comes from different sources, which mainly including the photoelectric and electronic noise in the diagnostic system. Next, a method of enhancing contrast in fluorescence image is devised based on real-time digital subtraction of a background video image from a signal-plus-background video image. Then, segmental linearity image enhancement technique is applied after background subtraction to project the lesions. Finally, A processing technique for pseudocolor display of monochrome image is performed to enhance color contrast for the fluorescence image of early lung cancer, which highly enhanced the discrimination of lung cancer image in color. The validity of these approaches have been verified and primary clinical results show that a sufficient fluorescence contrast of suspicions versus normal tissue is obtained, which can effectively eliminate the false positive and negative diagnosis occurring in the clinical application.

Paper Details

Date Published: 18 September 2001
PDF: 6 pages
Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); doi: 10.1117/12.440273
Show Author Affiliations
Buhong Li, Fujian Teachers Univ. and Zejiang Univ. (China)
Shusen Xie, Fujian Teachers Univ. (China)
Zukang Lu, Zhejiang Univ. (China)

Published in SPIE Proceedings Vol. 4549:
Medical Image Acquisition and Processing
Jayaram K. Udupa; Aaron Fenster, Editor(s)

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