Title :
3-D anisotropic electrical impedance imaging
Author :
Gong, Lian ; Zhang, Keqian ; Unbehauen, Rolf
Author_Institution :
Dept. of Appl. & Theor. Electr. Eng., Erlangen-Nurnberg Univ., Germany
fDate :
3/1/1997 12:00:00 AM
Abstract :
A 3-D algorithm of anisotropic electrical impedance imaging is presented. The image reconstruction is based on the theory of the generalized incremental linear function with global sensitivity. The inverse calculation only deals with the conductivity-varying finite elements. The forward problem is solved by 3-D FEM and 1-D storage is utilized to save memory. The inverse of the stiffness matrix can also be stored in a one-dimensional way. A successful computer simulation shows that this algorithm can detect conductivity variations from 1% to 100% of the original conductivity with global sensitivity and the convergence is fast, so it is efficient and flexible
Keywords :
bioelectric phenomena; biomedical imaging; digital simulation; electric impedance imaging; electrical conductivity measurement; finite element analysis; image reconstruction; matrix algebra; medical image processing; simulation; 1-D storage; 3-D FEM; 3-D anisotropic electrical impedance imaging; computer simulation; conductivity-varying finite elements; fast convergence; forward problem; generalized incremental linear function; global sensitivity; human body conductivity detection; image reconstruction; inverse calculation; stiffness matrix inverse; Anisotropic magnetoresistance; Boundary conditions; Computer simulation; Conductivity measurement; Current; Equations; Finite element methods; Humans; Image reconstruction; Surface impedance;
Journal_Title :
Magnetics, IEEE Transactions on
