Adaptive strain estimation using retrospective processing [medical US elasticity imaging]
| Autor: | M.A. Lubinski, Matthew O'Donnell, Stanislav Emelianov |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Signal processing
Materials science Acoustics and Ultrasonics Strain (chemistry) Acoustics Image plane Elasticity (physics) equipment and supplies Displacement (vector) Adaptive filter Condensed Matter::Materials Science nervous system Signal-to-noise ratio (imaging) cardiovascular system Electronic engineering Electrical and Electronic Engineering Deformation (engineering) Instrumentation circulatory and respiratory physiology |
| Zdroj: | IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. 46:97-107 |
| ISSN: | 0885-3010 |
| DOI: | 10.1109/58.741428 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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