Adaptive Strain Estimation Using Retrospective Processing

Mark A. Lubinski, Stanislav Y. Emelianov, and Matthew O'Donnell

ABSTRACT Because errors in displacement and strain estimates depend on the magnitude of the induced strain, the strain signal-to-noise ratio (SNR) will be a function of the applied deformation. If deformation is applied at the body surface, it is difficult during data acquisition to select a single surface displacement providing the highest strain SNR throughout the image. By applying continuous deformation and capturing data in real-time, the surface displacement providing the highest strain SNR can be selected retrospectively. A method to adaptively optimize strain SNR over the image plane using retrospective processing is presented and demonstrated with experimental results.

1999 IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Vol. 46, pp. 97-107, 1999

© 1999, by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

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