Magnetoacoustic Tomography with Magnetic
Induction (MAT-MI) Reconstruction Algorithm
Based on Characteristics of Acoustic Transducer

• Authors: Ren Ma , Tao Yin , Zhipeng Liu
• Languages of publication: EN

Abstracts

EN

A MAT-MI reconstruction algorithm was applied
to general sound detection systems, and the influence
of acoustic transducers on MAT-MI image reconstruction
was investigated in this paper. The acoustic intensity measurement
system was used to measure the acoustic field,
and the data was then used to build the acoustic transducer
model by a interpolation method. The model was
applied to forward and inverse problems of MAT-MI based
on Green’s function and discretization method. In order
to verify the algorithm, a simulation was carried out using
sphere scan schema and cylinder scan schema. A 3D
phantom model was set up based on S-L model in CT, with
the help of finite element analysis method and the distribution
of the transient electromagnetic field and the eddy
currentwere calculated. Simulation and reconstruction results
through numerical calculation using MATLAB were
obtained. Results show that the algorithm can reconstruct
the distribution of acoustic source vector; the correlation
coefficients are 98.49% and 94.96%, and can be applied to
the general transducer. This study provided a basis for the
experimental study of MAT-MI and a precise reconstruction
of conductivity distribution.

Keywords

EN

Magneto-acoustic tomography with magneticinduction; Characteristics of the acoustic transducers; Scan schema; 3D reconstruction

• Publisher: De Gruyter Open
• Journal: X-Acoustics: Imaging and Sensing
• Year: 2014
• Volume: 1
• Issue: 1

Dates

accepted

13 - 5 - 2015

received

15 - 1 - 2015

online

8 - 9 - 2015

Contributors

author

Ren Ma

• Institute of Biomedical Engineering,
  Chinese Academy of Medical Sciences & Peking Union
  Medical College, Tianjin 300192, China

author

Tao Yin

• Institute of Biomedical Engineering,
  Chinese Academy of Medical Sciences & Peking Union
  Medical College, Tianjin 300192, China

author

Zhipeng Liu

• Institute of Biomedical Engineering,
  Chinese Academy of Medical Sciences & Peking Union
  Medical College, Tianjin 300192, China

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Identifiers

DOI

10.1515/phto-2015-0005