Evaluation of shift estimation techniques for spectral-based elastography

K. Hoyt, F. Forsberg, J. Ophir

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper compares the performance of various spectral shift estimators for use in spectral elastography, namely, the normalized cross-correlation (NCC), sum squared difference (SSD), and sum absolute difference (SAD). Simulation results demonstrate that the spectral SSD-based elastographic method exhibits no marked difference in performance compared to the more computationally costly NCC-based approach, which has to date been the preferred estimator in spectral elastography. The spectral SAD-based strain estimator, though computationally less burdening, failed to outperform the NCC- and SSD-based techniques. Furthermore, though spectral subsample estimation techniques using a cosine-fit interpolation method outperformed that of the parabolic-fit method in terms of both reduced bias errors and standard deviations, the latter was selected in this study due to computational simplicity. The role of spectral density was evaluated without and with parabolic-based subsample interpolation. Based on minimizing computational complexity, it is concluded that a (low density) spectral SSD strain estimator coupled with parabolic-based subsample estimation is the preferred choice for spectral elastography.

Original languageEnglish (US)
Title of host publication2005 IEEE Ultrasonics Symposium
Number of pages4
StatePublished - 2005
Event2005 IEEE Ultrasonics Symposium - Rotterdam, Netherlands
Duration: Sep 18 2005Sep 21 2005

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117


Other2005 IEEE Ultrasonics Symposium


  • Elasticity imaging
  • Spectral elastography
  • Strain filter
  • Subsample estimation
  • Ultrasound imaging

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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