• DocumentCode
    3050426
  • Title

    The Noninvasive 3-D Reconstruction of Inner Heat Source and Temperature Field for Biological Body by Monte Carlo Method

  • Author

    Chen, Cheng ; Li, Kai-Yang ; Zhang, Shao-Ping

  • Author_Institution
    Dept. of Phys., Wuhan Univ., Wuhan
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    817
  • Lastpage
    820
  • Abstract
    Three-dimensional thermal diagnosis has become a potential assistant diagnosis method in medical field. But the reconstruction of 3-D heat source is very complicated. In the paper, 3-D heat distribution and temperature field for organisms can be reconstructed just from the surface temperature data by solving Pennes bio-heat equation with the Monte Carlo method. Concretely, the inverse problem of heat conduction can be solved with the Markov chain Monte Carlo method based on Hierarchical Bayesian Models, and 3-D heat source and temperature field can be reconstructed with the Monte Carlo method of fixed random walk.
  • Keywords
    Markov processes; Monte Carlo methods; belief networks; biology computing; biothermics; heat conduction; random processes; Markov chain Monte Carlo method; Pennes bio-heat equation; biological body; fixed random walk; heat conduction; hierarchical Bayesian models; inner heat source; noninvasive 3-D reconstruction; surface temperature data; three-dimensional thermal diagnosis; Bayesian methods; Biological system modeling; Equations; Humans; Inverse problems; Organisms; Probability distribution; Surface reconstruction; Temperature distribution; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    1-4244-1120-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2007.213
  • Filename
    4272697