Supporting Depth and Motion Perception in Medical Volume Data

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.

@inbook{MRH07,
  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}
}