TY - JOUR
T1 - An autocorrelation-based method for improvement of sub-pixel displacement estimation in ultrasound strain imaging
AU - Kim, Seungsoo
AU - Aglyamov, Salavat R.
AU - Park, Suhyun
AU - O'Donnell, Matthew
AU - Emelianov, Stanislav Y.
N1 - Funding Information:
Manuscript received october 16, 2009; accepted January 13, 2011. This work was supported in part by national Institutes of Health under Grant EB 004963 and Hl 091609. s. Kim, s. r. aglyamov, and s. y. Emelianov are with the University of Texas, Biomedical Engineering department, austin, TX (e-mail: kim.seungsoo@mail.utexas.edu). s. park is with GE Global research, Ultrasound and Biomedical Imaging laboratory, niskayuna, ny. M. o’donnell is with the University of Washington, Bioengineering department, seattle, Wa. digital object Identifier 10.1109/TUFFc.2011.1876
PY - 2011/4
Y1 - 2011/4
N2 - In ultrasound strain and elasticity imaging, an accurate and cost-effective sub-pixel displacement estimator is required because strain/elasticity imaging quality relies on the displacement SNR, which can often be higher if more computational resources are provided. In this paper, we introduce an autocorrelation-based method to cost-effectively improve subpixel displacement estimation quality. To quantitatively evaluate the performance of the autocorrelation method, simulated and tissue-mimicking phantom experiments were performed. The computational cost of the autocorrelation method is also discussed. The results of our study suggest the autocorrelation method can be used for a real-time elasticity imaging system.
AB - In ultrasound strain and elasticity imaging, an accurate and cost-effective sub-pixel displacement estimator is required because strain/elasticity imaging quality relies on the displacement SNR, which can often be higher if more computational resources are provided. In this paper, we introduce an autocorrelation-based method to cost-effectively improve subpixel displacement estimation quality. To quantitatively evaluate the performance of the autocorrelation method, simulated and tissue-mimicking phantom experiments were performed. The computational cost of the autocorrelation method is also discussed. The results of our study suggest the autocorrelation method can be used for a real-time elasticity imaging system.
UR - http://www.scopus.com/inward/record.url?scp=79955457690&partnerID=8YFLogxK
U2 - 10.1109/TUFFC.2011.1876
DO - 10.1109/TUFFC.2011.1876
M3 - Article
C2 - 21507761
AN - SCOPUS:79955457690
SN - 0885-3010
VL - 58
SP - 838
EP - 843
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 4
M1 - 5750105
ER -