Literature DB >> 17718321

An eigenfunction method for reconstruction of large-scale and high-contrast objects.

Robert C Waag1, Feng Lin, Trond K Varslot, Jeffrey P Astheimer.   

Abstract

A multiple-frequency inverse scattering method that uses eigenfunctions of a scattering operator is extended to image large-scale and high-contrast objects. The extension uses an estimate of the scattering object to form the difference between the scattering by the object and the scattering by the estimate of the object. The scattering potential defined by this difference is expanded in a basis of products of acoustic fields. These fields are defined by eigenfunctions of the scattering operator associated with the estimate. In the case of scattering objects for which the estimate is radial, symmetries in the expressions used to reconstruct the scattering potential greatly reduce the amount of computation. The range of parameters over which the reconstruction method works well is illustrated using calculated scattering by different objects. The method is applied to experimental data from a 48-mm diameter scattering object with tissue-like properties. The image reconstructed from measurements has, relative to a conventional B-scan formed using a low f-number at the same center frequency, significantly higher resolution and less speckle, implying that small, high-contrast structures can be demonstrated clearly using the extended method.

Mesh:

Year:  2007        PMID: 17718321     DOI: 10.1109/tuffc.2007.392

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  12 in total

1.  Fast inverse scattering solutions using the distorted Born iterative method and the multilevel fast multipole algorithm.

Authors:  Andrew J Hesford; Weng C Chew
Journal:  J Acoust Soc Am       Date:  2010-08       Impact factor: 1.840

2.  Scattering calculation and image reconstruction using elevation-focused beams.

Authors:  David P Duncan; Jeffrey P Astheimer; Robert C Waag
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

3.  A mesh-free approach to acoustic scattering from multiple spheres nested inside a large sphere by using diagonal translation operators.

Authors:  Andrew J Hesford; Jeffrey P Astheimer; Leslie F Greengard; Robert C Waag
Journal:  J Acoust Soc Am       Date:  2010-02       Impact factor: 1.840

4.  Estimation of scattering object characteristics for image reconstruction using a nonzero background.

Authors:  Jing Jin; Jeffrey Astheimer; Robert Waag
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-06       Impact factor: 2.725

5.  Comparison of temporal and spectral scattering methods using acoustically large breast models derived from magnetic resonance images.

Authors:  Andrew J Hesford; Jason C Tillett; Jeffrey P Astheimer; Robert C Waag
Journal:  J Acoust Soc Am       Date:  2014-08       Impact factor: 1.840

6.  The Fast Multipole Method and Fourier Convolution for the Solution of Acoustic Scattering on Regular Volumetric Grids.

Authors:  Andrew J Hesford; Robert C Waag
Journal:  J Comput Phys       Date:  2010-10-20       Impact factor: 3.553

7.  Reduced-Rank Approximations to the Far-Field Transform in the Gridded Fast Multipole Method.

Authors:  Andrew J Hesford; Robert C Waag
Journal:  J Comput Phys       Date:  2011-05-10       Impact factor: 3.553

8.  A projection-based approach to diffraction tomography on curved boundaries.

Authors:  Gregory T Clement
Journal:  Inverse Probl       Date:  2014-12       Impact factor: 2.407

9.  3-D Nonlinear Acoustic Inverse Scattering: Algorithm and Quantitative Results.

Authors:  J W Wiskin; D T Borup; E Iuanow; J Klock; Mark W Lenox
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-05-23       Impact factor: 2.725

10.  A singular-value method for reconstruction of nonradial and lossy objects.

Authors:  Wei Jiang; Jeffrey Astheimer; Robert Waag
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2012-03       Impact factor: 2.725

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