Reflectance spectra analysis for mucous assessment

被引:0
|
作者
Toru Chiba [1 ]
Masaharu Murata [2 ]
Takahito Kawano [2 ]
Makoto Hashizume [2 ]
Tomohiko Akahoshi [3 ]
机构
[1] Pentax_LifeCare, HOYA Corporation
[2] Center for Advanced Medical Innovation, Kyushu University
[3] Department of Disaster and Emergency Medicine, Graduate School of Medical Sciences, Kyushu University
关键词
D O I
暂无
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
This review report represents an overview of research and development on medical hyperspectral imaging technology and its applications. Spectral imaging technology is attracting attention as a new imaging modality for medical applications, especially in disease diagnosis and image-guided surgery. Considering the recent advances in imaging, this technology provides an opportunity for twodimensional mapping of oxygen saturation(Sat O2) of blood with high accuracy, spatial spectral imaging, and its analysis and provides detection and diagnostic information about the tissue physiology and morphology. Multispectral imaging also provides information about tissue oxygenation, perfusion, and potential function during surgery. Analytical algorithm has been examined, and indication of accurate map of relative hemoglobin concentration and Sat O2can be indicated with preferable resolution and frame rate. This technology is expected to provide promising biomedical information in practical use. Several studies suggested that blood flow and Sat O2are associated with gastrointestinal disorders, particularly malignant tumor conditions. The use and analysis of spectroscopic images are expected to potentially play a role in the detection and diagnosis of these diseases.
引用
收藏
页码:822 / 834
页数:13
相关论文
共 50 条
  • [21] Analysis of the Diffuse Reflectance Spectra of Skin due to Detection System
    Takano, Shoji
    Okada, Eiji
    DIFFUSE OPTICAL IMAGING III, 2011, 8088
  • [22] Analysis of the reflectance spectra of oil emulsion spilled on the sea surface
    Sicot, Guillaume
    Lennon, Marc
    Miegebielle, Veronique
    Dubucq, Dominique
    REMOTE SENSING OF THE OCEAN, SEA ICE, COASTAL WATERS, AND LARGE WATER REGIONS 2014, 2014, 9240
  • [23] An analysis method of reflectance spectra of strongly correlated electron systems
    Hwang, Jungseek
    PROGRESS IN SUPERCONDUCTIVITY AND CRYOGENICS, 2013, 15 (01): : 14 - 18
  • [24] Application of NIR reflectance spectra in quality analysis of epoxy prepreg
    Li W.
    Chen P.
    Zhou X.-Q.
    Sun B.-L.
    Gao W.-J.
    Hangkong Cailiao Xuebao/Journal of Aeronautical Materials, 2010, 30 (04): : 88 - 91
  • [25] A SEMIEMPIRICAL METHOD FOR ANALYSIS OF THE REFLECTANCE SPECTRA OF BINARY MINERAL MIXTURES
    JOHNSON, PE
    SMITH, MO
    TAYLORGEORGE, S
    ADAMS, JB
    JOURNAL OF GEOPHYSICAL RESEARCH, 1983, 88 (NB4): : 3557 - 3561
  • [26] Diffuse reflectance spectra of skin blood vessels and their color analysis
    Aizu, Y
    Nishidate, I
    Yokoi, N
    Yuasa, T
    Mishina, H
    SECOND INTERNATIONAL CONFERENCE ON EXPERIMENTAL MECHANICS, 2001, 4317 : 475 - 480
  • [27] Reflectance spectra classification for the rapid assessment of water ecological quality in Mediterranean ports
    Massi, Luca
    Maselli, Fabio
    Rossano, Claudia
    Gambineri, Simone
    Chatzinikolaou, Evangelia
    Dailianis, Thanos
    Arvanitidis, Christos
    Nuccio, Caterina
    Scapini, Felicita
    Lazzara, Luigi
    OCEANOLOGIA, 2019, 61 (04) : 445 - 459
  • [28] QUANTITATIVE-ANALYSIS OF PLANETARY REFLECTANCE SPECTRA WITH PRINCIPAL COMPONENTS-ANALYSIS
    JOHNSON, PE
    SMITH, MO
    ADAMS, JB
    JOURNAL OF GEOPHYSICAL RESEARCH, 1985, 90 : C805 - C810
  • [29] Assessment of unified models for estimating leaf chlorophyll content across directional-hemispherical reflectance and bidirectional reflectance spectra
    Li, Dong
    Tian, Long
    Wan, Zefu
    Jia, Min
    Yao, Xia
    Tian, Yongchao
    Zhu, Yan
    Cao, Weixing
    Cheng, Tao
    REMOTE SENSING OF ENVIRONMENT, 2019, 231
  • [30] REFLECTANCE SPECTRA MODELING METHODS
    Vrhel, Michael J.
    Trussell, H. J.
    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 489 - 492