Optimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method.
Optimization of multi-angle Magneto-Acousto-Electrical Tomography (MAET) based on a numerical method.
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基于数值方法的多角度磁声电层析成像（MAET）优化
DOI：
10.3934/mbe.2020161
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发表时间：
2020-03
影响因子：
2.6
通讯作者：
Xin Chen
中科院分区：
文献类型：
--
作者：
Tong Sun;Xin Zeng;Penghui Hao;Chien Ting Chin;Mian Chen;Jiejie Yan;Ming Dai;Haoming Lin;Siping Chen;Xin Chen
磁声电断层扫描（MAET）是一种新颖的多物理成像方法，它有望提供组织电阻抗的独特生物物理特性，并具有超声成像出色的空间分辨率的额外优势。它通过揭示介电特性的变化开启了癌症早期诊断的潜力。然而，由于依赖于电导边界和超声波束方向之间的角度，直接 MAET 无法完全成像不规则形状的病变。本文提出了多角度 MAET 的数值模拟，以改进 MAET 的图像重建，以识别不同位置的不规则形状肿瘤。结果表明，在单角度 B 模式重建图像中，只要超声波束与电导边界几乎平行，电导边界界面是不可见的。当采用多角度扫描时，通过图像旋转方法重建的图像再现了原始物体图案。此外，还讨论了重建误差与角度数之间的关系。结果发现，需要 12 个角度才能实现近乎最佳的重建。最后，给出了误差与测量噪声的 L2 范数的重建图像。
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 L2 norm of the error with the measurement noise are presented.
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