Loading...

Iterative least squares algorithm for inverse problem in MicroWave medical imaging

Azghani, M ; Sharif University of Technology | 2016

614 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/EUSIPCO.2016.7760266
  3. Publisher: European Signal Processing Conference, EUSIPCO , 2016
  4. Abstract:
  5. 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
  6. Keywords:
  7. Microwave imaging technique ; Sparse signal processing ; Constraint satisfaction problems ; Cost functions ; Imaging systems ; Imaging techniques ; Iterative methods ; Medical imaging ; Microwaves ; Signal processing ; Tomography ; Inverse scattering ; Microwave imaging ; Microwave tomography ; Sparse signal processing ; Sparsity ; Inverse problems
  8. Source: European Signal Processing Conference, 28 August 2016 through 2 September 2016 ; Volume 2016-November , 2016 , Pages 341-344 ; 22195491 (ISSN) ; 9780992862657 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7760266