Hosseinzadegan Samar, Fhager Andreas, Persson Mikael, Meaney Paul M
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Thayer School of Engineering at Dartmouth College, Hanover, NH 03755 USA and the Chalmers University of Technology, Gothenburg, Sweden.
IEEE J Electromagn RF Microw Med Biol. 2019 Jun;3(2):80-87. doi: 10.1109/JERM.2018.2882689. Epub 2018 Nov 21.
The two-dimensional electric field distribution of the microwave imaging system is numerically simulated for a simplified breast tumour model. The proposed two-dimensional discrete dipole approximation (DDA) has the potential to improve computational speed compared to other numerical methods while retaining comparable accuracy. We have modeled the field distributions in COMSOL Multiphysics as baseline results to benchmark the DDA simulations. We have also investigated the adequate sampling size and the effect of inclusion size and property contrast on solution accuracy. In this way, we can utilize the 2D DDA as an alternative, fast and reliable forward solver for microwave tomography. From a mathematical perspective, the derivation of the 2D DDA and its application to microwave imaging is new and not previously implemented. The simulation results and the measurements show that the 2D DDA is a well-grounded forward solver for the specified microwave breast imaging system.
针对一个简化的乳腺肿瘤模型,对微波成像系统的二维电场分布进行了数值模拟。与其他数值方法相比,所提出的二维离散偶极子近似(DDA)在保持相当精度的同时,具有提高计算速度的潜力。我们在COMSOL Multiphysics中对场分布进行了建模,作为基准结果来对标DDA模拟。我们还研究了合适的采样大小以及内含物大小和特性对比度对解算精度的影响。通过这种方式,我们可以将二维DDA用作微波层析成像的一种替代、快速且可靠的正演求解器。从数学角度来看,二维DDA的推导及其在微波成像中的应用是全新的,以前未曾实现过。模拟结果和测量结果表明,二维DDA是用于指定微波乳腺成像系统的有充分依据的正演求解器。