Abstract
We developed two methods for the virtual extraction of the skull from the ultra short echo time MR images: i) an interactive and a semi-automatic scatterplot based segmentation as well as ii) a support vector machine (SVM) based segmentation. Both interactive and semiautomated procedures allow for good segmentation results. On the other hand it was possible to full automate the skull segmentation process with the SVM which delivered slightly better results. Four datasets were evaluated with the corresponding registered CT images using the Dice coefficients (D). The interactive scatterplot based method reached a mean D of 0.802 ± 0.070, the semi automatic one yielded a mean D of 0.791 ± 0.042 and the SVM based segmentation delivered a mean D of 0.828 ± 0.053.
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© 2012 Springer-Verlag Berlin Heidelberg
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Habes, M., Kops, E., Lipinski, HG., Herzog, H. (2012). Skull Extraction from MR Images Generated by Ultra Short TE Sequence. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2012. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28502-8_47
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DOI: https://doi.org/10.1007/978-3-642-28502-8_47
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