• DocumentCode
    2509187
  • Title

    Four Order Adaptive PDE Method for MRI Denoising

  • Author

    Lu, Bibo ; Deng, Chao ; Liu, Qiang ; Li, Jun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a novel four order adaptive (FOA) PDE method for denoising of magnetic resonance (MR) images. FOA method can adjust the diffusion speed according to the local structure of the image and preserve more details in MRI data. Denoising results on T-1 and T-2 weight MR images are given. We have also compared our method with related PDE models.
  • Keywords
    biomedical MRI; image denoising; medical image processing; partial differential equations; MRI denoising; T-1 weight MR image; T-2 weight MR image; four order adaptive PDE method; magnetic resonance image; partial differential equation; Biomedical imaging; Chaos; Computer science; Educational institutions; Filtering; Magnetic field measurement; Magnetic noise; Magnetic resonance imaging; Noise reduction; Nonlinear filters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5162867
  • Filename
    5162867