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IPMI
1999
Springer

Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space

14 years 5 months ago
Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space
Inspired by the discussion in neurological research about the callosal fiber connections with respect to brain asymmetry we developed a technique that measures distances between brain hemispheres in a nonEuclidean, curvilinear space. The technique is a generic morphometric tool for measuring minimal distances within and across 3-D structures. We applied the technique for distances from the cortical gray/white matter boundary to the cross-section of the corpus callosum. The method uses a 3-D extension of the F*-algorithm. The algorithm uses a cost matrix determined by the image data. The resulting distances are mapped to the cortical surface and differences on the two hemispheres can be visually compared. Distances were also projected back to the corpus callosum to represent asymmetry by comparing left and right measurements. We can present results obtained by processing 11 3-D magnetic resonance data sets representing a normal control group.
Martin Styner, Thomas Coradi, Guido Gerig
Added 16 Nov 2009
Updated 16 Nov 2009
Type Conference
Year 1999
Where IPMI
Authors Martin Styner, Thomas Coradi, Guido Gerig
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