DocumentCode
1063886
Title
An Eigenfunction Method for Reconstruction of Large-Scale and High-Contrast Objects
Author
Waag, Robert C. ; Lin, Feng ; Varslot, Trond K. ; Astheimer, Jeffrey P.
Author_Institution
Univ. of Rochester, Rochester
Volume
54
Issue
7
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
1316
Lastpage
1332
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.
Keywords
biological tissues; biomedical ultrasonics; eigenvalues and eigenfunctions; image reconstruction; medical image processing; B-scan; eigenfunction; high-contrast objects; image reconstruction; large-scale objects; multiple-frequency inverse scattering method; tissue-like properties; Acoustic scattering; Eigenvalues and eigenfunctions; Frequency measurement; Image reconstruction; Image resolution; Inverse problems; Large-scale systems; Reconstruction algorithms; Scattering parameters; Speckle; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Reproducibility of Results; Sensitivity and Specificity; Ultrasonography;
fLanguage
English
Journal_Title
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher
ieee
ISSN
0885-3010
Type
jour
DOI
10.1109/TUFFC.2007.392
Filename
4277148
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