• DocumentCode
    2373495
  • Title

    Multi-resolution Texture Rendering for Medical Data

  • Author

    Cheng, Yun ; Jiang, Li ; Ma, Xiangyin ; Xue, Jianfeng ; Zheng, Zhelan

  • Author_Institution
    Ultrasound Dept., Zhejiang Univ., Hangzhou, China
  • fYear
    2011
  • fDate
    15-16 May 2011
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    Hardware-accelerated ray casting algorithm is one of the most important methods for direct volume rendering. Due to the limited size of video memory in graphics card, thus, the multi-resolution representation approach is employed for the large scale volume data. This paper proposes a multi-resolution texture generation method based on the flat blocking. The level of detail (LOD) selection approach will be achieved with flat blocking, and the flat blocking multi-resolution representation can be obtained. By using the brick texture reorganization operation, the compressed multi-representation texture can be generated, which provides the foundation for the adaptive multi-resolution texture sampling to render the high quality final image. The experiment results demonstrate that our approach can produce multi-resolution texture at a high compression rate, furthermore, the detailed information is preserved, so our approach can be applied to the large scale data volume.
  • Keywords
    medical computing; rendering (computer graphics); brick texture reorganization operation; direct volume rendering; flat blocking method; level-of-detail selection approach; medical data; multiresolution texture rendering; ray casting algorithm; Casting; Data visualization; Equations; Foot; Image color analysis; Muscles; Rendering (computer graphics); Flat blocking multi-resolution representation; Flat blocking sampling; Level-of-detail selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-0271-6
  • Electronic_ISBN
    978-0-7695-4413-7
  • Type

    conf

  • DOI
    10.1109/DMDCM.2011.43
  • Filename
    5959676