A model-driven approach to microwave diagnostics in biomedical applications

Author

Caorsi, Salvatore ; Gragnani, Gian Luigi ; Pastorino, Matteo ; Rebagliati, Mauro

Author_Institution

Dept. of Electron., Pavia Univ., Italy

Volume

44

Issue

10

fYear

1996

fDate

10/1/1996 12:00:00 AM

Firstpage

1910

Lastpage

1920

Abstract

A model-driven approach to microwave diagnostics for biological bodies is presented. The approach is developed in the space domain and is based on a numerical solution of the equation for the scaler two-dimensional (2-D) inverse-scattering problem. The aim is to use a priori information on the biological body under test (homogeneous along the transverse axis) in order to focus the investigation process on only one subdomain of the body, with a considerable computational saving. The method requires the numerical computation of the Green´s function for an unperturbed model of the body in order to apply reconstruction techniques to a reduced investigation domain, which can be changed inside the body, with a reduction in on-line computation. The paper defines the mathematical formulation for a 2-D TM and presents the reconstructions of some schematized scatterers corresponding to living tissues

Keywords

Green´s function methods; image reconstruction; medical image processing; microwave imaging; physiological models; Green´s function; biological bodies; biomedical applications; computational saving; living tissues; mathematical formulation; medical diagnostic imaging; microwave diagnostics; model-driven approach; numerical computation; reconstruction techniques; reduced investigation domain; schematized scatterers; space domain approach; unperturbed model; Biological system modeling; Biology computing; Biomedical imaging; Dielectric measurements; Image reconstruction; Lighting; Magnetic resonance imaging; Microwave imaging; Microwave theory and techniques; Ultrasonic imaging;

fLanguage

English

Journal_Title

Microwave Theory and Techniques, IEEE Transactions on

Publisher

ieee

ISSN

0018-9480

Type

jour

DOI

10.1109/22.539949

Filename

539949