Improved Magneto-Acousto-Electrical Computed Tomography (MAE-CT) With Multi-Angle Plane Wave
Improved Magneto-Acousto-Electrical Computed Tomography (MAE-CT) With Multi-Angle Plane Wave
复制标题
改进的多角度平面波磁声电计算机断层扫描 (MAE-CT)
DOI：
10.1109/tbme.2022.3220645
复制
发表时间：
2022
影响因子：
4.6
通讯作者：
Xin Chen
中科院分区：
文献类型：
--
作者：
Haoming Lin;Yi Chen;LinGuo Yu;Siyuan Xie;Tong Sun;Mengmeng Yu;Siping Chen;Mian Chen;Xin Chen
磁声电层析成像（MAET）作为一种组织电导成像方法，与传统电阻抗成像方法相比，具有轴向空间分辨率高的优势。但它存在对电导率分布不规则的目标成像困难、横向空间分辨率差的问题。虽然基于旋转的MAET方法可以部分解决不规则目标问题，但仍然存在成像信噪比(SNR)较差的问题。我们之前的研究建立了创新的 MAET 方法的框架，该方法具有与计算机断层扫描（CT）非常相似的成像理论和重建算法。因此，我们将这种方法命名为磁声电计算机断层扫描（MAE-CT）。本文提出了一种基于多角度平面波激励的MAE-CT的改进实现。该方法将线阵换能器的电子转向与机械旋转相结合，在保持成像复杂性的同时增加投射角度的数量。在本研究中，我们首先建立了有限元仿真模型来验证该方法的可行性。然后进行模型实验来系统地研究所提出方法的性能。最后进行体外肝组织实验，进一步探讨该方法的可行性。实验结果表明，我们的方法提高了重建图像的信噪比和空间分辨率。对于体模结果，该方法可以在2mm大小的区域中检测到0.67S/m的电导率。据我们所知，这是 MAET 可用的空间分辨率的最佳结果。
As a tissue conductivity imaging method, magneto-acousto-electric tomography (MAET) has the advantage of high axial spatial resolution compared with traditional electrical impedance imaging methods. However, it has the problems of difficulty in imaging targets with irregular conductivity distribution and poor lateral spatial resolution. Although the rotation-based MAET method can partly solve the irregular target problem, there is still a poor imaging signal-to-noise ratio (SNR) problem. Our previous study established a framework of an innovative MAET method, which has a very similar imaging theory and reconstruction algorithm to those of computed tomography (CT). Therefore, we name the method magneto-acoustic-electric computed tomography (MAE-CT). This paper proposes an improved implementation of MAE-CT based on multi-angle plane wave excitation. This method combines the electronic steering of the linear array transducer with the mechanical rotation to increase the number of projection angles while keeping the imaging complexity. In this study, we first established a finite element simulation model to verify the method's feasibility. Then phantom experiments were conducted to systematically investigate the performance of the proposed method. Finally, in vitro liver tissue experiment was conducted to further explore the feasibility of the method. The experimental results show that our method improves both the SNR and spatial resolution of the reconstructed image. For the phantom results, this method can detect conductivity of 0.67 S/m in an area with a size of 2 mm. To the best of our knowledge, this is the best result of spatial resolution available for MAET.