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20 January 2015 Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer
Atsushi Goto, Jun Nishikawa, Shu Kiyotoki, Munetaka Nakamura, Junichi Nishimura, Takeshi Okamoto, Hiroyuki Ogihara, Yusuke Fujita, Yoshihiko Hamamoto, Isao Sakaida
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Journal of Biomedical Optics, Vol. 20, Issue 1, 016017 (January 2015). https://doi.org/10.1117/1.JBO.20.1.016017
Abstract
Hyperspectral imaging (HSI) is a new technology that obtains spectroscopic information and renders it in image form. This study examined the difference in the spectral reflectance (SR) of gastric tumors and normal mucosa recorded with a hyperspectral camera equipped with HSI technology and attempted to determine the specific wavelength that is useful for the diagnosis of gastric cancer. A total of 104 gastric tumors removed by endoscopic submucosal dissection from 96 patients at Yamaguchi University Hospital were recorded using a hyperspectral camera. We determined the optimal wavelength and the cut-off value for differentiating tumors from normal mucosa to establish a diagnostic algorithm. We also attempted to highlight tumors by image processing using the hyperspectral camera’s analysis software. A wavelength of 770 nm and a cut-off value of 1/4 the corrected SR were selected as the respective optimal wavelength and cut-off values. The rates of sensitivity, specificity, and accuracy of the algorithm’s diagnostic capability were 71%, 98%, and 85%, respectively. It was possible to enhance tumors by image processing at the 770-nm wavelength. HSI can be used to measure the SR in gastric tumors and to differentiate between tumorous and normal mucosa.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2015/$25.00 © 2015 SPIE
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Atsushi Goto, Jun Nishikawa, Shu Kiyotoki, Munetaka Nakamura, Junichi Nishimura, Takeshi Okamoto, Hiroyuki Ogihara, Yusuke Fujita, Yoshihiko Hamamoto, and Isao Sakaida "Use of hyperspectral imaging technology to develop a diagnostic support system for gastric cancer," Journal of Biomedical Optics 20(1), 016017 (20 January 2015). https://doi.org/10.1117/1.JBO.20.1.016017
Published: 20 January 2015
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KEYWORDS
Tumors
Diagnostics
Cancer
Image processing
Hyperspectral imaging
Endoscopy
Image enhancement
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