Open AccessOptimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method
Author(s) -
T. Sun,
Xuanke Zeng,
Peng Hui Hao,
Chien Ting Chin,
Mian Chen,
Jiong Yan,
Ming Dai,
Hao Ming Lin,
Siping Chen,
Xin Chen
Publication year - 2020
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2020161
Subject(s) - iterative reconstruction , tomography , electrical impedance tomography , physics , rotation (mathematics) , optics , image resolution , ultrasound , acoustics , geometry , mathematics , computer science , artificial intelligence
Magneto-Acousto-Electrical Tomography (MAET) is a novel multi-physics imaging method, which promises to offer a unique biophysical property of tissue electrical impedance with the additional benefit of excellent spatial resolution of the ultrasonic imaging. It opens the potential for early diagnosis of cancer by revealing changes of dielectric characteristics. However, direct MAET is unable to image the irregularly-shaped lesions fully due to the dependence on the angle between conductivity boundary and ultrasound beam direction. In this paper, a numerical simulation of multi-angle MAET is presented for an improved image reconstruction for MAET in order to discern irregularly-shaped tumors in different positions. The results show that the conductivity boundary interfaces are invisible in single angle B-mode reconstructed image, wherever the ultrasound beam and conductivity boundary are nearly parallel. When the multi-angle scanning was adopted, the image reconstructed with image rotation method reproduced the original object pattern. Furthermore, the relationship between reconstruction error and the number of angles was also discussed. It is found that 12 angles would be necessary to achieve nearly the optimal reconstruction. Finally, reconstructed images in L 2 norm of the error with the measurement noise are presented.