• DocumentCode
    2368970
  • Title

    Strain magnitude estimation based on adaptive incompressibility processing

  • Author

    Donnell, M.O. ; Chen, X. ; Kaluzynski, K. ; Emelianov, S.Y. ; Skovoroda, A.R.

  • Author_Institution
    Biomed. Eng. Dept., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1643
  • Abstract
    Two-dimensional phase-sensitive speckle tracking of high frame rate, real-time images has been tested as a possible means for strain rate imaging (SRI) of the beating heart. Due to the poor signal to noise ratio (SNR) of lateral displacement estimates, an adaptive incompressibility method has been developed to produce both shear strain and strain magnitude images with spatial resolution and SNR approaching axial strain images. To test the proposed approach, strain images were produced for a thick-walled, cylindrical phantom modeling cardiac deformations. Strain magnitude images with spatial resolution between 1-2 mm were generated using an array system operating at 5 MHz. These images clearly show low deformation regions in the phantom difficult to identify on tissue velocity derived strain images
  • Keywords
    biological tissues; biomedical ultrasonics; cardiology; medical image processing; speckle; 5 MHz; adaptive incompressibility processing; cardiac deformation; cylindrical phantom; heart; real-time imaging; signal-to-noise ratio; spatial resolution; strain magnitude imaging; tissue velocity imaging; two-dimensional phase-sensitive speckle tracking; ultrasonic transducer array; Biomedical engineering; Capacitive sensors; Heart; High-resolution imaging; Imaging phantoms; Signal to noise ratio; Spatial resolution; Speckle; TV interference; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrasonics Symposium, 2001 IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-7177-1
  • Type

    conf

  • DOI
    10.1109/ULTSYM.2001.992037
  • Filename
    992037