• DocumentCode
    1786039
  • Title

    Simultaneous speckle reduction of echocardiography frame sequence using PCA

  • Author

    Jalali, Mohammad ; Behnam, Hamid ; Gifani, Parisa ; Sani, Zahra Alizadeh

  • Author_Institution
    Dept. of Biomed. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
  • fYear
    2014
  • fDate
    20-22 May 2014
  • Firstpage
    1863
  • Lastpage
    1867
  • Abstract
    By development of ultrasound technology, ultrasonic imaging has become a frequently used diagnostic tool. The main benefit for this system is real-time imaging and being safe compared to other methods of imaging like Magnetic Resonance Imaging (MRI). A challenging issue for ultrasonic imaging is low quality due to naturally inherited speckle noise. In this paper, we have proposed an accurate despeckling method which uses temporal information of echocardiography frames instead of spatial characteristics to reduce speckle in each frame. Data matrix is formed by placing Intensity Variation Time Curves (IVTC) as columns and change in the basis of information is done by Principal Component Analysis (PCA). This method is faster than other reported methods and also does not have the deficiency of image blurring contrary to most other techniques. Results for this technique are evaluated both quantitatively, using evaluation criteria and qualitatively from the viewpoint of an expert.
  • Keywords
    echocardiography; image denoising; image restoration; image sequences; medical image processing; principal component analysis; speckle; ultrasonic imaging; MRI; PCA; accurate despeckling method; data matrix; diagnostic tool; echocardiography frame sequence; evaluation criteria; image blurring; intensity variation time curves; magnetic resonance imaging; naturally inherited speckle noise; principal component analysis; real-time imaging; simultaneous speckle reduction; ultrasonic imaging; ultrasound technology; Echocardiography; Image edge detection; Principal component analysis; Signal to noise ratio; Speckle; Ultrasonic imaging; Intensity Variation Time Curves; echocardiography; image enhancement; principle component analysis; speckle noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
  • Conference_Location
    Tehran
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2014.6999843
  • Filename
    6999843