• DocumentCode
    1661584
  • Title

    A new time delay estimation method for displacement estimation in Ultrasound Elastography

  • Author

    Khadem, Ali ; Setarehdan, Seyed Kamaledin

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tehran, Tehran
  • fYear
    2008
  • Firstpage
    2126
  • Lastpage
    2129
  • Abstract
    Ultrasound Elastography (UE) is a non-invasive technique to image the elasticity distribution of the soft tissues. In UE two ultrasound RF signals obtained before and after applying a compressing load on the tissue are processed for local time delay estimation (TDE) between them. To increase the accuracy of the TDE, it is necessary to use a sub-sample TDE method. In this paper a new TDE method based on the SSD-spline TDE is presented which not only directly produces continuous time delay estimates from the sampled data but also provides a higher rate of accuracy in final elastograms by compensating for the decorrelation of the post-compression RF signals due to the applied compression. Moreover, a two-stage procedure is proposed to reduce the processing time. The experimental results show the proposed algorithm outperforms the golden TDE method of ldquoSSD with cubic spline fitting sub-sample TDErdquo technique in terms of the SNRe and CNRe.
  • Keywords
    biological tissues; biomedical ultrasonics; estimation theory; displacement estimation; elasticity distribution; noninvasive technique; soft tissues; sum squared differences-spline; time delay estimation method; ultrasound RF signals; ultrasound elastography; Biological tissues; Capacitive sensors; Decorrelation; Delay effects; Delay estimation; Elasticity; Image coding; Signal to noise ratio; Spline; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697566
  • Filename
    4697566