• DocumentCode
    3040594
  • Title

    Denosing 3D Ultrasound Images by Non-local Means Accelerated by GPU

  • Author

    Hu, Song ; Hou, WenGuang

  • Author_Institution
    Dept. of Biomed. Eng., HuaZhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    14-17 Dec. 2011
  • Firstpage
    43
  • Lastpage
    45
  • Abstract
    In Ultrasound imaging, speckle noise is the most serious problem which affects the performance of images. Non-local mean filter is a nice method to remove the speckle noise, but the algorithm´ computational complexity makes it´s a highly time-consuming method. In many applications like image-guided surgical intervention, real-time de-noising is required. This paper implements a NLM method accelerated by GPU for real-time denoising of 3D ultrasound images. The experimental results show the proposed accelerated de-noising method is efficient in terms of denoising quality and real-time.
  • Keywords
    biomedical ultrasonics; computational complexity; filtering theory; graphics processing units; image denoising; medical image processing; surgery; ultrasonic imaging; 3D ultrasound image denoising; GPU; NLM method; computational complexity; denoising quality; image-guided surgical intervention; nonlocal mean filter; real-time denoising; speckle noise removal; Biomedical imaging; Filtering algorithms; Graphics processing unit; Noise reduction; Speckle; Three dimensional displays; Ultrasonic imaging; 3D ultrasound; GPU; NLM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4577-1152-7
  • Type

    conf

  • DOI
    10.1109/ICBMI.2011.53
  • Filename
    6131700