Title :
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
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;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
