Supporting Depth and Motion Perception in Medical Volume Data

Jennis Meyer-Spradow Timo Ropinski Ulm University Klaus Hinrichs

2008

Abstract

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.

Bibtex

content_copy

@inbook{meyer2008supporting,
	title={Supporting Depth and Motion Perception in Medical Volume Data},
	author={Meyer-Spradow, Jennis and Ropinski, Timo and Hinrichs, Klaus},
	editor={Linsen, Lars and Hagen, Hans and Hamann, Bernd},
	year={2008},
		pages={121--133}
}