Infrared Thermal Mapping, Analysis and Interpretation in Biomedicine

SELVAN, Arul and CHILDS, Charmaine (2017). Infrared Thermal Mapping, Analysis and Interpretation in Biomedicine. In: NG, Eddie YK and ETEHADTAVAKOL, Mahnaz, (eds.) Application of Infrared to Biomedical Sciences. Springer, 377-394.

[img]
Preview
PDF
Infrared_Thermal_Mapping_Analysis_and_Interpretation_in_Biomedicine.pdf - Published Version
All rights reserved.

Download (777kB) | Preview
Official URL: http://www.springer.com/gb/book/9789811031465
Related URLs:

    Abstract

    Measurement of body temperature is one of the cornerstones of clinical assessment in medicine. Skin, the largest organ of the human body, is essentially a temperature mosaic determined by the rate of blood flow through arterioles and capillaries adjacent to the skin. This makes the conventional methods of ‘spot’ measurement rather limited in providing detailed information of regional skin temperature. Infrared (IR) thermal imaging however has the potential to provide a robust method of surface temperature mapping in disease states where pathology disturbs the ‘normal’ distribution of blood flow to skin. To advance image inter- pretation from the conventional qualitative narrative to a quantitative and robust system, analytical developments focus on digital images and require computer-aided systems to produce results rapidly and safely. Hierarchical clustering-based segmentation (HCS) provides a generic solution to the complex interpretation of thermal data (pixel by pixel) to produce clusters and boundary regions at levels not discernible by human visual processing. In this chapter, HCS has been used to aid the interpretation of wound images and to identify variations in temperature clusters around and along the surgical wound for their clinical relevance in wound infection.

    Item Type: Book Section
    Uncontrolled Keywords: Infrared Temperature Thermal mapping Wound infection Image analysis Hierarchical Clustering-based Segmentation (HCS) Isotherm Boundary outlining
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Engineering and Mathematics
    Page Range: 377-394
    Depositing User: Arul Selvan
    Date Deposited: 07 Jun 2017 10:15
    Last Modified: 26 Jan 2018 19:04
    URI: http://shura.shu.ac.uk/id/eprint/15711

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics