Title :
Comparison Study of Three Different Image Reconstruction Algorithms for MAT-MI
Author :
Xia, Rongmin ; Li, Xu ; Bin He
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fDate :
3/1/2010 12:00:00 AM
Abstract :
In this paper, we report a theoretical study on magnetoacoustic tomography with magnetic induction (MAT-MI). According to the description of signal generation mechanism using Green´s function, the acoustic dipole model was proposed to describe acoustic source excited by the Lorentz force. Using Green´s function, three kinds of reconstruction algorithms based on different models of acoustic source (potential energy, vectored acoustic pressure, and divergence of Lorenz force) are deduced and compared, and corresponding numerical simulations were conducted to compare these three kinds of reconstruction algorithms. The computer simulation results indicate that the potential energy method and vectored pressure method can directly reconstruct the Lorentz force distribution and give a more accurate reconstruction of electrical conductivity.
Keywords :
Green´s function methods; acoustic radiators; acoustic tomography; electromagnetic induction; image reconstruction; magnetoacoustic effects; Green function; Lorentz force; Lorenz force divergence; MAT-MI; acoustic dipole model; acoustic source excitation; electrical conductivity; image reconstruction algorithms; magnetic induction; magnetoacoustic tomography; numerical simulations; potential energy; signal generation; vectored acoustic pressure; Computer simulation; Green´s function methods; Image reconstruction; Induction generators; Lorentz covariance; Numerical simulation; Potential energy; Reconstruction algorithms; Signal generators; Tomography; Green’s function; MAT with magnetic induction (MAT-MI); magnetoacoustic tomography (MAT); time-domain reconstruction; Acoustics; Algorithms; Computer Simulation; Image Processing, Computer-Assisted; Magnetics; Tomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2034637