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.
Images and movies
BibTex references
@InBook{MRH07,
author = "Meyer-Spradow, Jennis and Ropinski, Timo and Hinrichs, Klaus H.",
title = "Supporting Depth and Motion Perception in Medical Volume Data",
chapter = "7",
series = "Mathematics+Visualization",
pages = "121--133",
month = "oct",
year = "2007",
publisher = "Springer",
keywords = "voreen",
url = "http://viscg.uni-muenster.de/publications/2007/MRH07"
}
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