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    题名: Wavelength optimization using available laser diodes in spectral near-infrared optical tomography
    作者: 潘敏俊;Chen, Liang-Yu;Pan, Min-Cheng;Yan, Chung-Chen;Pan, Min-Chun
    贡献者: 工學院機械工程學系
    关键词: Chromophores;Elderly people;Imaging;Laser diodes;Lipids;Optimization;Spectra;Wavelengths
    日期: 2016-07-20
    上传时间: 2026-04-23 15:33:04 (UTC+8)
    出版者: The Optical Society;United States
    摘要: 摘要: For employing optimized wavelengths, a near-infrared (NIR) tomographic imaging system with multiwavelengths in a continuous wave (CW) enables us to provide accurate information of chromophores. In this paper, we discuss wavelength optimization with a selection from commercial laser diodes. Through theoretical analysis, the residual norm (R) and the condition number (κ) represent the uniqueness of a matrix problem and the smooth singular-value distribution of each chromophore, respectively. The optimum wavelengths take place for large R and small κ. We considered a total of 38 wavelengths of laser diodes in the range of 633-980 nm commercially available to discover optimum sets for a broad range of chromophore combinations. In the 38 wavelengths, there exists 501,942 (C538), 2,760,681 (C638), and 12,620,256 (C738) combinations of five, six, and seven wavelength sets, respectively, for accurately estimating chromophores (HbO , HbR, H O, and lipids), water, lipids, and the scattering prefactor A. With the numerical calculation, the top 10 wavelength sets were selected based on the principle of large R and small κ. In the study, the chromophore concentration for young and elderly women are investigated; finally, choosing the laser diodes with a wavelength of 650, 690, 705, 730, 870/880, 915, and 937 nm is recommended either for young or elderly women to construct a spectral NIR tomographic imaging system in the CW domain. Simulated data were used to validate the claims.
    其他題名: Appl Opt
    出版者: United States
    出版日期: 2016-07-20
    出處: Applied Optics, 2016-07, Vol.55 (21), p.5729-5737
    資源來源: Optica Publishing Group Journals
    識別號: ISSN: 1559-128X
    識別號: EISSN: 2155-3165
    識別號: EISSN: 1539-4522
    識別號: DOI: 10.1364/AO.55.005729
    識別號: PMID: 27463930
    显示于类别:[機械工程學系] 期刊論文

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