Supporting Depth and Motion Perception in Medical Volume Data

Jennis Meyer-Spradow, Timo Ropinski, Klaus Hinrichs
Springer Mathematics+Visualization, page 121--133 - 2007
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There are many application areas where dynamic visualization techniques cannot be used and the user can only view a still image. Perceiving depth and understanding spatio-temporal relations from a single still image are challenging tasks. We present visualization techniques which support the user in perceiving depth information from 3D angiography images, and techniques which depict motion inherent in time-varying medical volume datasets. In both cases no dynamic visualization is required.

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BibTex references

  author       = {Meyer-Spradow, Jennis and Ropinski, Timo and Hinrichs, Klaus},
  title        = {{Supporting Depth and Motion Perception in Medical Volume Data}},
  chapter      = {7},
  pages        = {121--133},
  year         = {2007},
  publisher    = {Springer Mathematics+Visualization}

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