Title :
Frequency-domain-based strain estimation and high-frame-rate imaging for quasi-static elastography
Author :
Ramalli, Alessandro ; Basset, Olivier ; Cachard, Christian ; Boni, Enrico ; Tortoli, Piero
Author_Institution :
Electron. & Telecommun. Dept., Univ. of Florence, Firenze, Italy
fDate :
4/1/2012 12:00:00 AM
Abstract :
In freehand elastography, quasi-static tissue compression is applied through the ultrasound probe, and the corresponding axial strain is estimated by calculating the time shift between consecutive echo signals. This calculation typically suffers from a poor signal-to-noise ratio or from the decorrelation between consecutive echoes resulting from an erroneous axial motion impressed by the operator. This paper shows that the quality of elastograms can be improved through the integration of two distinct techniques in the strain estimation procedure. The first technique evaluates the displacement of the tissue by analyzing the phases of the echo signal spectra acquired during compression. The second technique increases the displacement estimation robustness by averaging multiple displacement estimations in a high-frame-rate imaging system, while maintaining the typical elastogram frame-rate. The experimental results, obtained with the Ultrasound Advanced Open Platform (ULA-OP) and a cyst phantom, demonstrate that each of the proposed methods can independently improve the quality of elastograms, and that further improvements are possible through their combination.
Keywords :
biological tissues; biomedical ultrasonics; echo; elasticity; frequency-domain analysis; medical image processing; phantoms; strain measurement; ULA-OP; Ultrasound Advanced Open Platform; axial strain; cyst phantom; decorrelation; displacement estimation robustness; echo signal spectra; freehand elastography; frequency domain based strain estimation; high frame rate imaging; quasistatic tissue compression; ultrasound probe; Estimation; Frequency domain analysis; Imaging; Indexes; Iron; Strain; Ultrasonic imaging; Algorithms; Elasticity Imaging Techniques; Image Processing, Computer-Assisted; Models, Biological; Phantoms, Imaging; Reproducibility of Results; Signal Processing, Computer-Assisted;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2012.2260