Abstract
A new method is presented for fully automated regional quantification of human neo-cortical thickness from 3-D MR images. The method does not require explicit extraction of the cortical surface, but instead is based on a geodesic distance transform of the binarized 3-D volumetric gray matter map obtained by automated segmentation. Regional cortical thickness distributions are derived by atlas-based partitioning of the brain. Results for 64 normal controls are presented that show very good agreement with published reference values.
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References
Cuisenaire, O.: Distance Transforms: Fast Algorithms and Applications to Medical Image Processing. PhD thesis, Laboratoire de Telecommunications et Teledetection, Université Catholique de Louvain, Louvain-la-Neuve, Belgium (1999)
Fischl, B., Dale, A.M.: Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. USA 97(20), 11050–11055 (2000)
Hammers, A., Koepp, M.J., Free, S.L., Brett, M., Richardson, M.P., Labbé, C., Cunningham, V.J., Brooks, D.J., Duncan, J.: Implementation and application of a brain template for multiple volumes of interest. Human Brain Mapping 15(3), 165–174 (2002)
Kabani, N., Le Goualher, G., MacDonald, D., Evans, A.C.: Measurement of cortical thickness using an autiomated 3-D algorithm: A validation study. NeuroImage 13(2), 375–380 (2001)
Van Leemput, K., Maes, F., Vandermeulen, D., Suetens, P.: Automated model based tissue classification of MR images of the brain. IEEE Transactions on Medical Imaging 18(10), 897–908 (1999)
MacDonald, D., Kabani, N., Avis, D., Evans, A.C.: Automated 3-d extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 12(3), 340–356 (2000)
Maes, F., Collignon, A., Vandermeulen, D., Suetens, P.: Multimodalatity image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 16(2), 187–198 (1997)
Wellcome Department of Cognitive Neurology. Statistical Parametric Mapping (SPM), http://www.fil.ion.ucl.ac.uk/spm/
Quester, R., Schroder, R.: The shrinkage of the human brain stem during formalin fixation and embedding in paraffin. Journal of Neuroscience Methods 75(1), 81–89 (1997)
Sisodiya, S.M.: Surgery for malformations of cortical development causing epilepsy. Brain 123, 1075–1091 (2000)
von Economo, C.: L’architecture cellulaire normale de l’écorce cérébrale. Masson Paris, French edition by L. Van Bogaert (1927)
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Srivastava, S., Maes, F., Vandermeulen, D., Dupont, P., Van Paesschen, W., Suetens, P. (2003). An Automated 3D Algorithm for Neo-cortical Thickness Measurement. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_60
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DOI: https://doi.org/10.1007/978-3-540-39903-2_60
Publisher Name: Springer, Berlin, Heidelberg
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