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  Skeleton-based gyri sulci separation for improved assessment of cortical thickness

Richter, M., Bishop, C. A., Dukart, J., Stuehler, E., Mueller, K., Schroeter, M. L., et al. (2012). Skeleton-based gyri sulci separation for improved assessment of cortical thickness. 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012, 1144-1147. doi:10.1109/ISBI.2012.6235762.

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Richter_2012_Skeleton.pdf (Publisher version), 650KB
 
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 Creators:
Richter, Mirco1, Author
Bishop, Courtney A., Author
Dukart, Jürgen2, Author           
Stuehler, Elisabeth, Author
Mueller, Karsten3, Author           
Schroeter, Matthias L.2, Author           
Merhof, Dorit, Author
Affiliations:
1Univ. of Konstanz, Konstanz, Germany , ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
3Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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Free keywords: Voxel-based gyri sulci separation; Cortical thickness; Dementia; Magnetic resonance imaging
 Abstract: In order to improve classification of neurological diseases involving cortical thinning, this work proposes an approach for separating gyral and sulcal regions of the human cortex. Using data from magnetic resonance imaging, the skeleton of the brain's white matter was reconstructed and a geodesic distance measure was applied to separate gyri and sulci. Cortical thickness per subregion was measured for the entire cortex and for gyri and sulci individually in 21 patients with Alzheimer's disease, 10 patients with frontotemporal lobar degeneration composed of two subgroups and 13 control subjects. For discrimination using logistic regressions, which was assessed using leave-one-out cross-validation, improved results were obtained in five out of six group comparisons when cortical thickness measurements were constrained to gyral or sulcal regions.

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Language(s): eng - English
 Dates: 2012-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/ISBI.2012.6235762
PMID: 27295638
 Degree: -

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Title: 9th IEEE International Symposium on Biomedical Imaging (ISBI), 2012
Source Genre: Proceedings
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Publ. Info: IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1144 - 1147 Identifier: ISBN: 978-1-4577-1857-1