Application of the DORT technique to FDTD-based time reversal for microwave breast cancer detection

Author

Kosmas, Panagiotis

Author_Institution

King´´s Coll., London

fYear

2007

fDate

9-12 Oct. 2007

Firstpage

306

Lastpage

308

Abstract

This paper extends previous work on time reversal (TR) imaging for microwave breast cancer detection, by applying for the first time the decomposition of the time reversal operator (DORT, by the French acronym) to a case of multiple tumors. In particular, a numerical study, combining information from the singular value decomposition (SVD) of the multistatic data matrix (MDM) and the finite difference time domain (FDTD) TR algorithm of (P. Kosmas and C. Rappaport, 2005), is presented. The study confirms established theory on the DORT method, and shows that selective focusing can be achieved without a full reconstruction of the time-domain eigenvectors of the time reversal operator.

Keywords

cancer; eigenvalues and eigenfunctions; finite difference time-domain analysis; matrix algebra; microwave imaging; patient diagnosis; singular value decomposition; finite difference time domain time reversal algorithm; microwave breast cancer detection; multiple tumors; multistatic data matrix; singular value decomposition; time reversal imaging; time reversal operator decomposition; time-domain eigenvectors; Breast cancer; Breast neoplasms; Cancer detection; Finite difference methods; Focusing; Matrix decomposition; Microwave imaging; Microwave theory and techniques; Singular value decomposition; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2007. European

Conference_Location

Munich

Print_ISBN

978-2-87487-001-9

Type

conf

DOI

10.1109/EUMC.2007.4405187

Filename

4405187