Magnetoacoustic tomography imaging of biological tissues with magnetic induction under the static field of MRI scanner

Leo Mariappan, Gang Hu, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Magnetoacoustic tomography with magnetic induction (MAT-MI) is an emerging technique, which collects ultrasound signals by inducing Lorentz force-based vibrations inside biological tissues to reconstruct electrical impedance properties with high spatial resolution. However, previous MAT-MI imaging systems only acquired small amplitudes of ultrasound signals as biological tissues are poor conductors of electricity, which limits the generated eddy current. In this work, we report our pilot MAT-MI experimental study in a magnetic resonance imaging scanner. The present experimental results suggest that MAT-MI under high static magnetic field environment is able to differentiate tissue electrical impedance with improved imaging contrast.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages149-152
Number of pages4
ISBN (Electronic)9781467319591
DOIs
StatePublished - Jul 29 2014
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: Apr 29 2014May 2 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period4/29/145/2/14

Keywords

  • Biological tissue imaging
  • MRI scanner
  • Magnetoacoustic tomography
  • Ultrasound

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    Mariappan, L., Hu, G., & He, B. (2014). Magnetoacoustic tomography imaging of biological tissues with magnetic induction under the static field of MRI scanner. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 149-152). [6867831] (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6867831