• DocumentCode
    2029966
  • Title

    Paranasal sinusitis detection using thermal imaging

  • Author

    Arora, Ajat Shatru ; Singh, Jaspreet

  • Author_Institution
    Electr. & Instrum. Eng. Dept., Sant Longowal Inst. of Eng. & Technol, Sangrur, India
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    184
  • Lastpage
    188
  • Abstract
    This paper focuses on the identification of paranasal sinusitis using thermal imaging. Thermal imaging is a non-invasive technique which provides a 2D temperature profile of a body under measurement. The experiments have been performed by IR camera on eight subjects of different age group under consideration of constant ambient temperature and resting position. The Region of Interest for imaging is human face. The average temperature of different parts of a face is measured by circle and polygon analysis. The line analysis is performed horizontally and vertically across the nose to show the temperature variations between nose and adjacent parts to it. Image thresholding is done by using Otsu´s method to differentiate between normal and sinusitis affected patients. The preliminary investigation results show encouraging signs for use of thermal imaging for paranasal sinusitis.
  • Keywords
    biomedical optical imaging; biothermics; cameras; diseases; infrared imaging; medical image processing; 2D temperature profile; IR camera; Otsu´s method; age group; circle analysis; constant ambient temperature; human face; image thresholding; line analysis; noninvasive technique; paranasal sinusitis detection; polygon analysis; region of interest; resting position; temperature variations; thermal imaging; Biomedical imaging; Cameras; Face; Nose; Temperature distribution; Temperature measurement; Thermal imaging; human face temperature profile; image thresholding; line analysis; paranasal sinus; sinusitis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237143
  • Filename
    7237143