Three-dimensional image reconstruction in variable density acoustic tomography

Mark A. Anastasio; Daxin Shi

doi:10.1117/12.682898

31 August 2006 Three-dimensional image reconstruction in variable density acoustic tomography

Mark A. Anastasio, Daxin Shi

Proceedings Volume 6316, Image Reconstruction from Incomplete Data IV; 631604 (2006) https://doi.org/10.1117/12.682898
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

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.

Citation Download Citation

Mark A. Anastasio and Daxin Shi "Three-dimensional image reconstruction in variable density acoustic tomography", Proc. SPIE 6316, Image Reconstruction from Incomplete Data IV, 631604 (31 August 2006); https://doi.org/10.1117/12.682898

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KEYWORDS

Tomography

Acoustics

Reconstruction algorithms

Scattering

Image restoration

3D image processing

Image compression

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