Paper Info
Title
Iterative least squares algorithm for inverse problem in microwave medical imaging.
Abstract
The inverse problem in MicroWave Imaging (MWI) is an ill-posed one which can be solved with the aid of the sparsity prior of the solution. In this paper, an Iterative Least Squares Algorithm (ILSA) has been proposed as an inverse solver in MWI which seeks for the sparse vector satisfying the problem constraints. Minimizing a least squares cost function, we derive a relatively simple iterative algorithm which enforces the sparsity gradually with the aid of a reweighting operator. The simulation results confirm the superiority of the suggested method compared to the state-of-the-art schemes in the quality of the recovered breast tumors in the microwave images.
Year
Venue
Keywords
2016
European Signal Processing Conference
Microwave tomography,sparse signal processing,sparsity,inverse scattering,Microwave imaging technique
Field
DocType
ISSN
Least squares,Inverse,Mathematical optimization,Iterative method,Medical imaging,Algorithm,Inverse problem,Operator (computer programming),Microwave imaging,Solver,Mathematics
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Masoumeh Azghani1186.17
Farokh Marvasti257372.71