• DocumentCode
    3572729
  • Title

    MRI bias field estimation based on diffusion

  • Author

    Yanfei Chen ; Zhiping Dan ; Xi Chen ; Shuanghui Lei ; Xiaobo Liu

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Wuhan Inst. of Technol., Wuhan, China
  • fYear
    2014
  • Firstpage
    1500
  • Lastpage
    1504
  • Abstract
    Aim at magnetic resonance imaging (MRI) inherent bias field, a new method to estimate image bias field based on diffusion was proposed, which was based on an intuitive assumption that the true bias field can be evolved and approximated by image surface. To constrain this evolution, an energy function was designed based on two diffusion constraints. One was that the bias-free image has concise representation with image gradients. The other constraint was that the model fit on the bias field which was more relaxed than previous methods. Experimental results show that this method can estimate adaptively and correct effectively magnetic resonance imaging bias field, and compared with other methods, this model was more simple, but this effect was better.
  • Keywords
    biodiffusion; biomedical MRI; image representation; medical image processing; MRI bias field estimation; bias-free image; diffusion constraints; energy function; image bias field based; image gradients; image surface; magnetic resonance imaging inherent bias field; model fit; true bias field; Automation; Biomedical imaging; Bismuth; Educational institutions; Estimation; Magnetic resonance imaging; TV; bias field; diffusion; energy function; magnetic resonance imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052941
  • Filename
    7052941