• DocumentCode
    1588783
  • Title

    Ultrasound Image Compounding Based on Motion Compensation

  • Author

    Lin, Cheng-Hsien ; Weng, Chwin-Min ; Sun, Yung-Nien

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    6445
  • Lastpage
    6448
  • Abstract
    The quality of ultrasonic images is usually influenced by speckle noises. To reduce the speckle noise, compounding techniques have been widely applied to improve image quality through signal averaging. In this paper, a 2-D ultrasonic motion compounding system is proposed that uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered to the reference frame and then compounded to reduce the speckle noises. Several compounding strategies are then used to remove the unwanted degradation. Performance has been tested on both synthetic and in vivo clinical ultrasonic images. The experimental results show that the motion can be assessed accurately and the compounded images achieve good signal-to-noise ratio for improving the quality of ultrasonic images
  • Keywords
    biomedical ultrasonics; image denoising; image registration; medical image processing; motion compensation; motion estimation; 2-D ultrasonic motion compounding system; hierarchical adaptive feature weighted motion estimation; image registration; motion compensation; signal averaging; speckle noises; ultrasound image compounding; Degradation; Image quality; In vivo; Motion compensation; Motion estimation; Noise reduction; Signal to noise ratio; Speckle; Testing; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615974
  • Filename
    1615974