• DocumentCode
    1107745
  • Title

    Phase rotation methods in filtering correlation coefficients for ultrasound speckle tracking

  • Author

    Huang, Lingyun ; Petrank, Yael ; Huang, Sheng-Wen ; Jia, Congxian ; O´Donnell, Matthew

  • Author_Institution
    Dept. of Bioeng., Univ. of Washington, Seattle, WA
  • Volume
    56
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    1368
  • Lastpage
    1382
  • Abstract
    In speckle-tracking-based myocardial strain imaging, large interframe/volume peak-systolic strains cause peak hopping artifacts separating the highest correlation coefficient peak from the true peak. A correlation coefficient filter was previously designed to minimize peak hopping artifacts. For large strains, however, the correlation coefficient filter must follow the strain distribution to remove peak hopping effectively. This processing usually means interpolation and high computational load. To reduce the computational burden, a narrow band approximation using phase rotation is developed in this paper to facilitate correlation coefficient filtering. Correlation coefficients are first phase rotated to increase coherence, then filtered. Rotated phase angles are determined by the local strain and spatial position. This form of correlation coefficient filtering enhances true correlation coefficient peaks in large strain applications if decorrelation due to deformation does not completely destroy the coherence among neighboring correlation coefficients. The assumed strain used in the filter can also deviate from the true strain and still be effective. Further improvement in displacement estimation can be expected by combining correlation coefficient filtering with a new Viterbi-based displacement estimator.
  • Keywords
    biomedical ultrasonics; cardiology; speckle; ultrasonic imaging; Viterbi based displacement estimator; correlation coefficients filtering; deformation; myocardial strain imaging; phase rotation; ultrasound speckle tracking; Biomedical engineering; Capacitive sensors; Filtering; Filters; Image analysis; Kernel; Pixel; Signal analysis; Speckle; Ultrasonic imaging; Algorithms; Computer Simulation; Echocardiography; Elastic Modulus; Signal Processing, Computer-Assisted; Stress, Mechanical;
  • fLanguage
    English
  • Journal_Title
    Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-3010
  • Type

    jour

  • DOI
    10.1109/TUFFC.2009.1193
  • Filename
    5116863