Novel estimators for elastography

Sheikh Kaisar Alam; Frederick L. Lizzi; Ernest Joseph Feleppa; T. Varghese

doi:10.1117/12.428207

30 May 2001 Novel estimators for elastography

Sheikh Kaisar Alam, Frederick L. Lizzi, Ernest Joseph Feleppa, T. Varghese

Proceedings Volume 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing; (2001) https://doi.org/10.1117/12.428207
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

In conventional elastography, strains are estimated by computing gradient of estimated displacement. However, gradient-based algorithms are susceptible to noise. We have developed two new strain estimators to overcome the common limitations of elastography. The first estimator is based on a frequency-domain formulation; it estimates local strain by maximizing the correlation between the spectra of pre- and post-compression echo signals by iteratively frequency- scaling the latter. We discuss a variation of this algorithm that may be computationally more efficient. The second estimator is based on the observation that an extremely stiff region will undergo virtually no strain when compressed, and will exhibit quasi-rigid body motion. As a result, an area with high similarity between the pre- and post-compression signals indicates low strain, and an area with low similarity indicates large strain. We use normalized 2D correlation function to estimate this similarity. This method offers significant advantages for detecting rigid tissues in the presence of large, irregular, non-axial motion. Both the estimators exhibited promising results in simulation and experiments.

Citation Download Citation

Sheikh Kaisar Alam, Frederick L. Lizzi, Ernest Joseph Feleppa, and T. Varghese "Novel estimators for elastography", Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428207

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