成像体模
电阻抗断层成像
图像分辨率
断层摄影术
迭代重建
平面波
旋转(数学)
声学
信噪比(成像)
传感器
有限元法
投影(关系代数)
平面(几何)
磁电机
噪音(视频)
材料科学
计算机科学
光学
物理
数学
人工智能
几何学
算法
图像(数学)
热力学
量子力学
功率(物理)
作者
Haoming Lin,Yi Chen,Linguo Yu,Siyuan Xie,Tong Sun,Mengmeng Yu,Siping Chen,Mian Chen,Xin Chen
标识
DOI:10.1109/tbme.2022.3220645
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI