The noninvasive reconstruction of 3D temperature field in a biological body with Monte Carlo method

  • Authors:

  • Kai-Yang Li;Yong-Gang Dong;Cheng Chen;Shao-Ping Zhang

  • Affiliations:

  • Key Laboratory of Acoustic and Photonic Materials and Devices of Ministry of Education, Department of Physics, Wuhan University, Wuhan 430072, China;Key Laboratory of Acoustic and Photonic Materials and Devices of Ministry of Education, Department of Physics, Wuhan University, Wuhan 430072, China;Key Laboratory of Acoustic and Photonic Materials and Devices of Ministry of Education, Department of Physics, Wuhan University, Wuhan 430072, China;Key Laboratory of Acoustic and Photonic Materials and Devices of Ministry of Education, Department of Physics, Wuhan University, Wuhan 430072, China

  • Venue:
  • Neurocomputing
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

The three-dimensional (3-D) thermal diagnosis has become a potential assistant medical diagnosis method. But the reconstruction of 3-D heat source is very complicated and difficult. Just from the surface temperature data, the 3-D distribution of heat and temperature for organisms can be reconstructed by solving Pennes' bio-heat equation with the Monte Carlo method in this paper. In detail, the inverse problem of bio-heat conduction can be solved with the Markov chain Monte Carlo method based on hierarchical Bayesian models, and the 3-D distribution of heat and temperature can be reconstructed through the Monte Carlo method of fixed random walk.