Title :
Magnetoacoustic tomography with magnetic induction (MAT-MI) for electrical conductivity imaging
Author :
Li, Xu ; He, Bin
Author_Institution :
Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
Magnetoacoustic tomography with magnetic induction (MAT-MI) is a recently introduced method for imaging electrical conductivity properties of biological tissue with high spatial resolution close to sonography. In MAT-MI the sample resides in a static magnetic field and a time-varying magnetic stimulation is applied to the sample volume. Through the action of the Lorentz force, the magnetically induced eddy current in the conductive sample causes particle vibrations and generates detectable ultrasound waves. The acoustic signal is then measured around the object to reconstruct images that are related to the object electrical conductivity distribution. The feasibility to reconstruct high spatial resolution conductivity images using MAT-MI method has been demonstrated by both computer simulation and experimental studies. Though MAT-MI technique is still in its developing stage, all the pilot studies suggest that it has potential to become a noninvasive imaging modality for high spatial resolution conductivity imaging of biological tissue and merits further investigations. This paper reviews MAT-MI about its basic theory, reconstruction algorithms and experiment studies. Some technical issues and future research directions are discussed.
Keywords :
acoustic tomography; bioelectric phenomena; biological tissues; electrical conductivity; electromagnetic induction; image reconstruction; image resolution; magnetoacoustic effects; medical image processing; Lorentz force; acoustic signal; biological tissue; electrical conductivity imaging; image reconstruction; magnetic induction; magnetically induced eddy current; magnetoacoustic tomography; noninvasive imaging modality; spatial resolution; static magnetic field; time-varying magnetic stimulation; Acoustics; Algorithms; Anisotropy; Computer Simulation; Diagnostic Imaging; Electric Conductivity; Electric Impedance; Image Processing, Computer-Assisted; Magnetics; Models, Statistical; Phantoms, Imaging; Signal Processing, Computer-Assisted; Tomography; Ultrasonics;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334511