title: CS based confocal microwave imaging algorithm for breast cancer detection.
abstract: Based on compressive sensing (CS) technology, a high resolution confocal microwave imaging algorithm is proposed for breast cancer detection. With the exploitation of the spatial sparsity of the target space, the proposed image reconstruction problem is cast within the framework of CS and solved by the sparse constraint optimization. The effectiveness and validity of the proposed CS imaging method is verified by the full wave synthetic data from numerical breast phantom using finite-difference time-domain (FDTD) method. The imaging results have shown that the proposed imaging scheme can improve the imaging quality while significantly reducing the amount of data measurements and collection time when compared to the traditional delay-and-sum imaging algorithm.
authors.affiliation: College of Information Science and Engineering, Northeastern University, Liaoning, China.|Department of Electronic Information Engineering, Shenyang Aerospace University, Liaoning, China.
authors.forename: Y P
authors.initials: YP
authors.lastname: Sun
authors.affiliation: College of Information Science and Engineering, Northeastern University, Liaoning, China.
authors.forename: S
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Department of Electronic Information Engineering, Shenyang Aerospace University, Liaoning, China.
authors.forename: Z
authors.initials: Z
authors.lastname: Cui
authors.affiliation: Department of Electronic Information Engineering, Shenyang Aerospace University, Liaoning, China.
authors.forename: L L
authors.initials: LL
authors.lastname: Qu
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D003952:Diagnostic Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008872:Microwaves
keywords: FDTD method; Microwave imaging; breast cancer detection; compressive sensing (CS)