Melanoma screening system using hyperspectral imager attached to imaging fiberscope

T. Nagaoka, A. Nakamura, Y. Kiyohara, T. Sota

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Early detection and proper excision of the primary lesions of melanoma are crucial for reducing melanoma-related deaths. In order to support the early detection of melanoma, melanoma screening systems have been extensively studied and developed. Recently we have proposed a melanoma discrimination index derived from hyperspectral data (HSD) in the visible-near infrared wavelength region. The index represents variegation in spectra over a lesion and works well in discriminating melanoma from other pigmented lesions. However the previous hyperspectral imager did not have an enough allowance for measurement of lesions. To overcome the problem with it, we have developed a hyperspectral imager attached to imaging fiberscope. This equipment has been able to accumulate HSD in a view field of 40 mm within about 10 seconds, from which the above-mentioned melanoma discrimination index has been calculated. Performance of the system has been studied in nine cases of melanoma and 18 cases of non-melanoma, obtained from patients and volunteers, all of whom were Japanese. The index has achieved a sensitivity of 100 % and a specificity of 94.4 %.

本文言語English
ホスト出版物のタイトル2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
ページ3728-3731
ページ数4
DOI
出版ステータスPublished - 2012 12 14
イベント34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
継続期間: 2012 8 282012 9 1

出版物シリーズ

名前Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(印刷版)1557-170X

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period12/8/2812/9/1

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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