Abstract
This paper considers the problem of brain volume assessment in children with craniosynostosis using the algorithms of image processing and analysis. In particular the postoperative craniosynostosis is considered. In this case the quantitative assessment of brain volume is very challenging due to missing fragments of the skull. These are removed during the corrective surgery and make image segmentation algorithms fail when applied to the brain extraction. The approach introduced in this paper overcomes this problem by combining morphological processing with the 3D random walk segmentation. The details of the introduced approach are explained in the paper contents. The results of the brain segmentation and brain volume assessment for the postoperative subjects are presented, analysed and discussed.
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Fabijańska, A., Gocławski, J., Mikołajczyk-Wieczorek, W. (2014). The Assessment of Brain Volume in the Postoperative Craniosynostosis. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 3. Advances in Intelligent Systems and Computing, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-319-06593-9_12
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DOI: https://doi.org/10.1007/978-3-319-06593-9_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06592-2
Online ISBN: 978-3-319-06593-9
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