Abstract
The high inter-subject variability of human neuroanatomy complicates the analysis of functional imaging data across subjects. We propose a method for the correct segmentation of cortical regions of interest based on the cortical surface. First results on the segmentation of Heschl’s gyrus indicate the capability of our approach for correct comparison of functional activations in relation to individual cortical patterns.
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© 2008 Springer-Verlag Berlin Heidelberg
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Engel, K., Brechmann, A., Toennies, K. (2008). Model-Based Segmentation of Cortical Regions of Interest for Multi-subject Analysis of fMRI Data. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_89
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DOI: https://doi.org/10.1007/978-3-540-78640-5_89
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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