• DocumentCode
    692647
  • Title

    A method of ultrasonic strain estimation under large tissue compression

  • Author

    Yaonan Zhang ; Sai Li ; Xian Li ; Hongliang Li ; Hairong Zheng

  • Author_Institution
    Sch. of Sino-Dutch Biomed. & Inf. Eng., Northeastern Univ., Shenyang, China
  • fYear
    2013
  • fDate
    19-20 Oct. 2013
  • Firstpage
    158
  • Lastpage
    161
  • Abstract
    Since the optical flow method can´t estimate the large displacement, the two-dimensional compression expansion method is proposed in this article to compensate for the large-scale movements in the image before the optical flow estimation. As a result, the related effects of decorrelation caused by the lateral displacement of the longitudinal compression can be effectively eliminated. Experimental results show that the two-dimensional compression extension methods can enhance the accuracy and robustness of the optical flow estimation. The resulting axial displacement and axial strain are basically consistent with the finite element simulation results, which proves the correctness of the new method.
  • Keywords
    biological tissues; biomechanics; biomedical ultrasonics; finite element analysis; image motion analysis; medical image processing; strain measurement; axial displacement; axial strain; decorrelation; finite element simulation; large tissue compression; large-scale movements; lateral displacement; longitudinal compression; optical flow estimation; two-dimensional compression expansion method; two-dimensional compression extension method; ultrasonic strain estimation; Adaptive optics; Computer vision; Estimation; Image coding; Image motion analysis; Optical imaging; Strain; 2D companding; Optical flow; Strain estimation; Ultrasound elastography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Imaging Physics and Engineering (ICMIPE), 2013 IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4799-6305-8
  • Type

    conf

  • DOI
    10.1109/ICMIPE.2013.6864525
  • Filename
    6864525