English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Fast segmentation of brain magnetic resonance tomograms

MPS-Authors
There are no MPG-Authors available
Locator
There are no locators available
Fulltext (public)
There are no public fulltexts available
Supplementary Material (public)
There is no public supplementary material available
Citation

Mittelhäußer, G., & Kruggel, F. J. (1995). Fast segmentation of brain magnetic resonance tomograms. In N. Ayache (Ed.), Computer vision, virtual reality and robotics in medicine (pp. 237-241). Berlin: Springer.


Cite as: http://hdl.handle.net/21.11116/0000-0003-3AF8-5
Abstract
We describe a combination of a region growing and a watershed algorithm optimized for the detection of homogeneous structures in magnetic resonance (MR) volume datasets. No prior knowledge is used except a segment model. The adaptation to different data sets is controlled by parameters which can be determined interactively due to the high speed of the algorithm. Results are shown for the segmentation of the basal ganglia and the white matter of the brain.