Ultrasonic imaging by local shape function method with CGFFT

Weng Cho Chew

doi:10.1109/58.535500

Ultrasonic imaging by local shape function method with CGFFT

Weng Cho Chew

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Pages (from-to)	956-969
Number of pages	14
Journal	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume	43
Issue number	5
DOIs	https://doi.org/10.1109/58.535500
State	Published - 1996
Externally published	Yes

ASJC Scopus subject areas

Instrumentation
Acoustics and Ultrasonics
Electrical and Electronic Engineering

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10.1109/58.535500

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title = "Ultrasonic imaging by local shape function method with CGFFT",

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.",

author = "Chew, {Weng Cho}",

note = "Funding Information: Manuscript received November 16, 1995; revised April 18, 1996. This work was supported by the National Science Foundation under Grant NSF ECS 93-02145, the Office of Naval Research under Contract N00014-95-1-0872, and the Research Board at the University of Illinois, Urbana-Champaign.",

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N2 - 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.

AB - 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.

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Ultrasonic imaging by local shape function method with CGFFT

Abstract

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