Fhager Andreas, Hashemzadeh Parham, Persson Mikael
Chalmers University of Technology, Department of Signal and Systems, Göteborg, Sweden.
IEEE Trans Biomed Eng. 2006 Aug;53(8):1594-604. doi: 10.1109/TBME.2006.878079.
A tomographic time-domain reconstruction algorithm for solving the inverse electromagnetic problem is described. The application we have in mind is dielectric breast cancer detection but the results are of general interest to the field of microwave tomography. Reconstructions have been made from experimental and numerically simulated data for objects of different sizes in order to investigate the relation between the spectral content of the illuminating pulse and the quality of the reconstructed image. We have found that the spectral content is crucial for a successful reconstruction. The work has further shown that when imaging objects with different scale lengths it is an advantage to use a multiple step procedure. Low frequency content in the pulse is used to image the large structures and the reconstruction process then proceed by using higher frequency data to resolve small scale lengths. Good agreement between the results obtained from experimental data and simulated data has been achieved.
描述了一种用于解决电磁逆问题的层析时域重建算法。我们所考虑的应用是介电质乳腺癌检测，但结果对微波层析成像领域具有普遍意义。为了研究照明脉冲的频谱内容与重建图像质量之间的关系，已对不同尺寸物体的实验数据和数值模拟数据进行了重建。我们发现频谱内容对于成功重建至关重要。这项工作还进一步表明，在对具有不同尺度长度的物体进行成像时，采用多步程序具有优势。脉冲中的低频内容用于对大结构进行成像，然后通过使用更高频率的数据来解析小尺度长度，从而继续进行重建过程。实验数据和模拟数据所得结果之间已达成良好的一致性。
