Ultrasonic imaging by local shape function method with CGFFT

Author

Lin, Jiun-Hwa ; Chew, Weng Cho

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

Volume

43

Issue

5

fYear

1996

Firstpage

956

Lastpage

969

Abstract

A numerical algorithm for the reconstruction of the density and the compressibility of a biological body from ultrasonic scattering data is presented. The reconstruction algorithm is based on the local shape function method (LSF) combined with the conjugate gradient method with fast Fourier transform (CGFFT). The nonlinearity due to the multiple scattering has been accounted for in an iterative minimization scheme. Numerical examples of simulation data and real experimental data are given showing the capability of this algorithm.

Keywords

biomechanics; biomedical ultrasonics; compressibility; conjugate gradient methods; density; fast Fourier transforms; image reconstruction; medical image processing; minimisation; ultrasonic scattering; CGFFT; biological body; compressibility; conjugate gradient method; density; fast Fourier transform; iterative minimization scheme; local shape function method; multiple scattering; nonlinearity; numerical algorithm; reconstruction algorithm; simulation data; soft tissues; ultrasonic imaging; ultrasonic scattering data; Biological system modeling; Fast Fourier transforms; Gradient methods; Image reconstruction; Iterative algorithms; Numerical simulation; Reconstruction algorithms; Scattering; Shape; Ultrasonic imaging;

fLanguage

English

Journal_Title

Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on

Publisher

ieee

ISSN

0885-3010

Type

jour

DOI

10.1109/58.535500

Filename

535500