Three-dimensional image reconstruction in variable density acoustic tomography

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diffraction tomography (DT) is an established imaging technique for use with diffracting wavefields, which represents a generalized form of x-ray tomography. In this work, we revisit the three-dimensional reconstruction problem of DT for variable density acoustic media. Novel reconstruction algorithms are developed for reconstructing separate images that depict a weakly scattering object's compressibility and density variations. If tomographic measurement data are acquired at four distinct temporal frequencies, we demonstrate that the effects of object dispersion can be accounted for completely by use of analytic reconstruction formulas. Computer-simulation studies are conducted to demonstrate the developed image reconstruction methods.

Original languageEnglish (US)
Title of host publicationImage Reconstruction from Incomplete Data IV
DOIs
StatePublished - Nov 9 2006
Externally publishedYes
EventImage Reconstruction from Incomplete Data IV - San Diego, CA, United States
Duration: Aug 14 2006Aug 15 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6316
ISSN (Print)0277-786X

Conference

ConferenceImage Reconstruction from Incomplete Data IV
CountryUnited States
CitySan Diego, CA
Period8/14/068/15/06

Keywords

  • Acoustic dispersion
  • Diffraction tomography
  • Image reconstruction
  • Ultrasound tomography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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