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  Visualising deformation fields computed by non-linear image registration

Tittgemeyer, M., Wollny, G., & Kruggel, F. (2002). Visualising deformation fields computed by non-linear image registration. Computing and visualization in science, 5(1), 45-51. doi:10.1007/s00791-002-0086-4.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-E839-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-28AD-4
Genre: Journal Article

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 Creators:
Tittgemeyer, Marc1, Author              
Wollny, Gert, Author
Kruggel, F.1, 2, Author              
Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574              
2Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563              

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 Abstract: Magnetic resonance imaging (MRI) is used in clinical routine to map the brain’s morphology. Structural changes due to brain growth, ageing, surgical intervention or pathological processes may be detected by non-linear image registration of time-series imaging data. The resulting displacement field is large and therefore, hard to interpret. For a simplified but sufficient description of the displacement field contraction mapping is proposed to detect vector field singularities. This allows the detection and analysis of singularities of any order as critical points which reflect the topology of the vector field. An application demonstrates how this method helps to increase the understanding of pathological processes in the brain.

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
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 Rev. Method: -
 Identifiers: eDoc: 239307
Other: P6789
DOI: 10.1007/s00791-002-0086-4
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Title: Computing and visualization in science
Source Genre: Journal
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Publ. Info: Springer-Verlag Germany
Pages: - Volume / Issue: 5 (1) Sequence Number: - Start / End Page: 45 - 51 Identifier: ISSN: 1432-9360
CoNE: https://pure.mpg.de/cone/journals/resource/954933110379