Fang Yuan, Bakian-Dogaheh Kazem, Moghaddam Mahta
IEEE Trans Med Imaging. 2023 Jan;42(1):268-280. doi: 10.1109/TMI.2022.3210494. Epub 2022 Dec 29.
In this paper, we present a new variational Born iterative method (VBIM) for real-time microwave imaging (MWI) applications. The S-parameter volume integral equation and waveport vector Green's function are implemented to utilize the measured signal of the MWI system. Meanwhile, the real and imaginary separation (RIS) approach is used at each iterative step to simultaneously reconstruct the dielectric permittivity and conductivity of unknown objects. Compared with the Born iterative method and distorted Born iterative method, VBIM requires less computational time to reach the convergence threshold. The graphics processing unit based acceleration technique is implemented for real-time imaging. To demonstrate the efficiency and accuracy of this VBIM-RIS method, synthetic analysis of a complex multi-layer spherical phantom is first conducted. Then, the algorithm is tested with measured data using our new MWI system prototype. Finally, a synthetic brain-tumor phantom model under a thermal therapy procedure is monitored to exemplify the real-time imaging with about 5 seconds per reconstruction frame.
在本文中，我们提出了一种用于实时微波成像（MWI）应用的新型变分玻恩迭代方法（VBIM）。采用S参数体积积分方程和波端口矢量格林函数来利用MWI系统的测量信号。同时，在每个迭代步骤中使用实虚部分离（RIS）方法来同时重建未知物体的介电常数和电导率。与玻恩迭代方法和变形玻恩迭代方法相比，VBIM达到收敛阈值所需的计算时间更少。基于图形处理单元的加速技术用于实时成像。为了证明这种VBIM-RIS方法的效率和准确性，首先对复杂的多层球形体模进行了综合分析。然后，使用我们新的MWI系统原型，用测量数据对该算法进行了测试。最后，监测热疗过程中的合成脑肿瘤体模模型，以举例说明每重建一帧约5秒的实时成像。
