Numerical implementation of magneto-acousto-electric tomography (MAET) using a linear phased array transducer

In this study, the performance and implementation of magneto-acousto-electric tomography (MAET) is investigated using a linear phased array (LPA) transducer. The goal of MAET is to image the conductivity distribution in biological bodies. It uses the interaction between ultrasound and a static magne...

Full description

Saved in:
Bibliographic Details
Published inPhysics in medicine & biology
Main Authors Gözü, Mehmet Soner, Zengin, Reyhan, Gencer, Nevzat Guneri
Format Journal Article
LanguageEnglish
Published England 05.12.2017
Subjects
Linear Phased Array Transducer
Electrical Conductivity Imaging
Magneto-Acousto-Electric Tomography
Ultrasound
Hall Effect Imaging
Online AccessGet full text

Cover

More Information
Summary:In this study, the performance and implementation of magneto-acousto-electric tomography (MAET) is investigated using a linear phased array (LPA) transducer. The goal of MAET is to image the conductivity distribution in biological bodies. It uses the interaction between ultrasound and a static magnetic field to generate velocity current density distribution inside the body. The resultant voltage due to velocity current density is sensed by surface electrodes attached on the body. In this study, the theory of MAET is reviewed. A 16-element LPA transducer is used to provide beam directivity and steerability of acoustic waves. Different two-dimensional (2D) numerical models of breast and tumour are formed to analyze the multiphysics problem coupled with acoustics and electromagnetic fields. In these models, velocity current density distributions are obtained for pulse type ultrasound excitations. The static magnetic field is assumed as 1 Tesla. To sense the resultant voltage caused by the velocity current density, it is assumed that two electrodes are attached on the surface of the body. The performance of MAET is shown through sensitivity matrix analysis. The sensitivity matrix is obtained for two transducer positions with 13 steering angles between -30° to 30° with 5° angular intervals. For the reconstruction of the images, truncated singular value decomposition (SVD) method is used with different signal-to-noise ratio (SNR) values (20 dB, 40 dB, 60 dB and 80 dB). The resultant images show that the perturbation (5 mm × 5 mm) placed 35 mm depth can be detected even if the SNR is 20 dB.
ISSN:1361-6560