• DocumentCode
    2086041
  • Title

    Perceptive Factors for Volume Visualization in Medical Image Analysis

  • Author

    Zhou, Jianlong ; Wang, Zhiyan ; Xiao, Chun

  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    579
  • Lastpage
    585
  • Abstract
    In the context of medical image analysis, it is useful to study how effectively the renditions created through volume rendering depicts anatomical structures and how well features of anatomical structures can be discerned in order to make decisions. In this paper, we firstly analyze the roles of perception for volume visualization in order to get perceptual factors which affect the effectiveness of volume visualization. The perceptual analysis results are then used to design visualization tools to demonstrate their effects on visual perception and mental models. In this paper, we mainly focus on depicting two kinds of object structural relationships that are important for extracting and understanding structures of interest: topological relationships (e.g. inside/outside) and spatial positional relationships.
  • Keywords
    medical image processing; anatomical structures; medical image analysis; object structural relationships; visual perception; volume visualization; Anatomical structure; Biomedical imaging; Cognitive science; Data analysis; Data visualization; Image analysis; Layout; Pipelines; Rendering (computer graphics); Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381802
  • Filename
    4381802