Rapid tracking of small displacements with ultrasound

By G. Pinton, Jeremy J. Dahl, Gregg E. Trahey. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 2006

396 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/148fdab50aad7f6c1fb8e92e2dd9276bbc055cfe

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Mark L. Palmeri
2. Joshua R. Doherty
3. Kathryn Nightingale
4. Gregg E. Trahey
5. Mickaël Tanter
6. Mathias Fink
7. Marvin M. Doyley
8. Thomas Deffieux

In Radiology, Nuclear Medicine and Imaging

1. Mark L. Palmeri
2. Joshua R. Doherty
3. Kathryn Nightingale
4. Gregg E. Trahey
5. Jeremy J. Dahl
6. Mathias Fink
7. Mickaël Tanter
8. Marvin M. Doyley

Citations in the corpus

• Quantifying hepatic shear modulus in vivo using acoustic radiation force. (2008, methodology): “Displacements were estimated using either Loupas’ method on IQ data or normalized cross-correlation with a 1.5 λ kernel with 99% overlap on the RF data, as detailed by Pinton et al. (Pinton et al., 2006).”
• Acoustic Radiation Force Elasticity Imaging in Diagnostic Ultrasound (2013, positive): “For the small displacements typically encountered with ARF methods, the 2-D autocorrelation method performs reasonably well compared with normalized-cross correlation and is less computationally intensive [50].”