Quantitative Assessment of Reconstruction Algorithms in Microwave Regime

Acquiring acceptable image qualitiy in microwave imaging is one of the challenging task in this field. This paper aims to investigate and compare modified level set method (MLSM) with four s‎tate-of-the-art methods i.e., distorted born iterative method (DBIM), contrast source inversion (CSI) method, linear sampling method (LSM) and multiple signal classification (MUSIC) method in image reconstruction and focuses on ‎quantitative ‎comparison ‎of them. Furthermore, three important criteria of image quality, namely accuracy, resolution and contrast, are quantitatively investigated for the aforementioned methods. The three quantitative methods of DBIM, CSI, and MLSM start with an initial guess of the scatterer profile and changing during an iterative process close to the actual scatterer. In spite of high amount of numerical computation in these methods, the resolution and contrast are high compared to the other two methods. As will be seen, the DBI and CSI methods are capable of completely resolving the two objects at 0.4λ and MLSM at 0.07λ. And also, MLSM provides more accurate reconstructions than the two others since the investigation domain is deformed to a smaller one.