Title :
Estimation and reduction of decorrelation effect due to tissue lateral displacement in elastography
Author :
Bai, Jing ; Ding, Chuxiong ; Luo, Jianwen ; He, Ping
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fDate :
5/1/2002 12:00:00 AM
Abstract :
In cross-correlation based elastography, the quality of the strain image is degraded by the distortion of echo waveforms due to tissue axial and lateral displacement. To study the effects of tissue lateral displacement on echo decorrelation, a tissue axial stretching model is developed and a concept called correlation signal-to-noise ratio (CSNR) is introduced to quantify the decorrelation effect due to tissue lateral displacement. A computer simulation based on the tissue stretching model is carried out to study the influence of several important elastographic parameters on echo decorrelation due to tissue lateral displacement. Finally, guided by the CSNR concept, a 2-D spatial comprehensive cross-correlation method is proposed to reduce the decorrelation noise. Results indicate that CSNR can be used as a quality indicator of elastography and the 2-D spatial comprehensive cross-correlation method can effectively reduce the decorrelation noise while slightly decreasing the lateral resolution of the strain image.
Keywords :
acoustic correlation; biological tissues; biomechanics; biomedical ultrasonics; decorrelation; medical image processing; normal distribution; 2D spatial comprehensive cross-correlation method; 3-D tissue motion; computer simulation; correlation signal-to-noise ratio; cross-correlation based elastography; echo decorrelation effect reduction; echo waveforms distortion; point spread function; quality indicator; strain image quality; tissue axial displacement; tissue axial stretching model; tissue lateral displacement; ultrasound pulse; Capacitive sensors; Computer simulation; Decorrelation; Degradation; Image coding; Noise reduction; Radio frequency; Scattering; Signal to noise ratio; Algorithms; Elasticity; Image Enhancement; Models, Biological; Models, Statistical; Motion; Phantoms, Imaging; Sensitivity and Specificity; Statistics as Topic; Stress, Mechanical; Ultrasonography;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
DOI :
10.1109/TUFFC.2002.1002452