• DocumentCode
    1381304
  • Title

    Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets

  • Author

    Luo, Yanlin

  • Author_Institution
    Inst. of Software, Beijing Normal Univ., Beijing, China
  • Volume
    14
  • Issue
    5
  • fYear
    2012
  • Firstpage
    63
  • Lastpage
    71
  • Abstract
    The exploration and visualization of large volumetric medical datasets from high-resolution computed tomography (CT) and medical resonance imaging (MRI) medical images are slow in rendering speed because of the large amount of data. Distance-based methods can address such issues, based on GPU volume raycasting and the idea of focus + context.
  • Keywords
    biomedical MRI; computerised tomography; graphics processing units; medical image processing; rendering (computer graphics); CT medical image; GPU volume raycasting; MRI medical images; distance-based focus + context models; distance-based methods; high-resolution computed tomography; large volumetric medical datasets; medical resonance imaging medical image; rendering speed; Computed tomography; Context awareness; Decision support systems; Medical information systems; Rendering (computer graphics); Scientific computing; Visualization; Volume measurement; GPU raycaster; focus + context techniques; importance-driven volume rendering; scientific computing; volume illustration;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2011.114
  • Filename
    6086525
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1381304