Title :
The Non-Invasive 3-D Temperature Image Reconstruction of Organism by Ansys
Author :
Yang, Jie ; Li, Kai-Yang ; Zhang, Shao-Ping
Author_Institution :
Dept. of Phys., Wuhan Univ.
Abstract :
As a new non-invasive functional imaging technology, thermal diagnosis has become a potential assistant method for its special diagnosis theory. The current diagnosis is almost restricted in subjective experience according to thermal image, without a quantitative analysis. In this paper, intuitionistic 3D temperature distribution of organism can be obtained through solving bio-heat transfer inverse equation. The equation is founded on Pennes bio-heat transfer model relating to the date of surface temperature, and takes advantage of the FEM (finite element method) to solve it. With the help of the large FEM analysis software ANSYS and especially its APDL (ANSYS parametric design language) secondary development function, a program is designed to complete the FEM analysis process automatically. It should be emphasized that an optimal algorithm is brought forward to calculate one or more inner abnormal heat sources information including the location and intensity
Keywords :
biomedical optical imaging; biothermics; finite element analysis; image reconstruction; infrared imaging; mathematics computing; medical image processing; temperature distribution; ANSYS parametric design language; ANSYS software; FEM analysis; bio-heat transfer inverse equation; finite element method; intuitionistic 3D temperature distribution; noninvasive 3D temperature image reconstruction; noninvasive functional imaging technology; organism temperature; secondary development function; surface temperature; thermal diagnosis; Biological system modeling; Blood; Cybernetics; Equations; Finite element methods; Heat transfer; Humans; Image reconstruction; Machine learning; Organisms; Skin; Temperature distribution; APDL secondary development; Thermal diagnosis; finite element method; inverse bio-heat transfer problem Introduction;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259010