• DocumentCode
    2949139
  • Title

    Interactive 3D Visualization of Large CT Datasets

  • Author

    Xie, Kai ; Yu, WenMao ; Yu, HuoQuan ; Wu, Peng ; Li, Tao ; Peng, MinFang

  • Author_Institution
    Sch. of Electron. Inf., Yangtze River Univ., Jingzhou, China
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    In this paper, we present an efficient, high-quality volume rendering algorithm using GPUs for rendering large CT datasets at interactive frame rates on standard PC hardware. We subdivide the volume dataset into uniform sized blocks and take advantage of combinations of early ray termination, empty-space skipping and visibility culling to accelerate the whole rendering process and render visible parts of volume data. We have implemented our volume rendering algorithm for a large volume data of 512×304×1878 dimensions (visible female), and achieved real-time performance (i.e., 3-4 frames per second) on a Pentium 4 2.4 GHz PC equipped with NVIDIA Geforce graphics card (512 MB video memory). This method can be used as a 3D visualization tool of large CT datasets for doctors or radiologists.
  • Keywords
    computer graphic equipment; computerised tomography; coprocessors; image texture; interactive systems; radiology; rendering (computer graphics); solid modelling; 3D texture mapping; GPU; NVIDIA Geforce graphics card; early ray termination; empty-space skipping; high-quality volume rendering algorithm; interactive 3D visualization; interactive frame rate; large CT datasets; radiologist; visibility culling; volume dataset subdivision; Acceleration; Computed tomography; Graphics processing unit; Hardware; Humans; Rendering (computer graphics); Three dimensional displays; Early ray termination; Empty-space skipping; Graphics processing unit; Optic transfer function; Visibility culling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4577-0960-9
  • Electronic_ISBN
    978-0-7695-4480-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2011.31
  • Filename
    5997398