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MIP-Guided Vascular Image Visualization with Multi-Dimensional Transfer Function

  • Ming-Yuen Chan
  • Yingcai Wu
  • Huamin Qu
  • Albert C. S. Chung
  • Wilbur C. K. Wong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4035)

Abstract

Direct volume rendering (DVR) is an effective way to visualize 3D vascular images for diagnosis of different vascular pathologies and planning of surgical treatments. Angiograms are typically noisy, fuzzy, and contain thin vessel structures. Therefore, some kinds of enhancements are usually needed before direct volume rendering can start. However, without visualizing the 3D structures in angiograms, users may find it difficult to select appropriate parameters and assess the effectiveness of the enhancement results. In addition, traditional enhancement techniques cannot easily separate the vessel voxels from other contextual structures with the same or very similar intensity. In this paper, we propose a framework to integrate enhancement and direct volume rendering into one visualization pipeline using multi-dimensional transfer function tailored for visualizing the curvilinear and line structures in angiograms. Furthermore, we present a feature preserving interpolation method to render very thin vessels which are usually missed using traditional approaches. To ease the difficulty in vessel selection, a MIP-guided method is suggested to assist the process.

Keywords

Transfer Function Vascular Image Intensity Interval IEEE Visualization Direct Volume Rendering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ming-Yuen Chan
    • 1
  • Yingcai Wu
    • 1
  • Huamin Qu
    • 1
  • Albert C. S. Chung
    • 1
    • 2
  • Wilbur C. K. Wong
    • 1
    • 2
  1. 1.Department of Computer Science 
  2. 2.Lo Kwee-Seong Medical Image Analysis LaboratoryThe Hong Kong University of Science and TechnologyClear Water Bay, Hong Kong

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