• DocumentCode
    2071423
  • Title

    Study on cerebral vascular extraction and three-dimensional reconstruction based on MRI

  • Author

    Gu, Fei ; Tao, Ling

  • Author_Institution
    Dept. of Biomed. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    Information extraction and three-dimensional reconstruction of blood vessel are keystones in visualization of medical images. Firstly, an improved Sobel algorithm combined with fuzzy theory is presented, which is used to extract the cerebral information of serial images and can solve the contradiction between preservation of detail information and high de-noising ability effectively. Then, an improved ray casting volume rendering algorithm based on fusion segmentations is used to improve the rendering speed with a better rendering quality. The experiments show that the presented new method can preserve more complete blood vessel 3-D information and obtain good de-noising effect. This new method can produce better rendering quality and speeds up the volume rendering.
  • Keywords
    biomedical MRI; feature extraction; fuzzy set theory; image denoising; image reconstruction; medical image processing; rendering (computer graphics); Sobel algorithm; blood vessel reconstruction; cerebral vascular extraction; denoising ability; fusion segmentations; fuzzy theory; magnetic resonance imaging; ray casting volume rendering; Biomedical imaging; Casting; Image reconstruction; Rendering (computer graphics); Surgery; Cerebral vascular extraction; Sobel algorithm; Three-Dimensional reconstruction; fuzzy theory; ray casting rendering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6788-4
  • Type

    conf

  • DOI
    10.1109/PIC.2010.5687597
  • Filename
    5687597