Abstract
This paper presents the first stage of a semi-automatic method for the segmentation of nodules of the skeleto-muscular system from magnetic resonance (MR) imaging. Themethod suggested is efficient irrespective of the tumour location in human body. It is based on Fuzzy C-Means clustering (FCM), Gaussian Mixture Models (GMM) and Fuzzy Connectedness analysis applied to the dataset consisting of T1W and T2W series. In this study a method of transforming the results between planes is also presented. The suggested algorithm has been evaluated on the examinations of different parts of the body, where Ewing’s sarcomas have been indicated by a radiologist.
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References
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Czajkowska, J., Badura, P., Pietka, E. (2010). 4D Segmentation of Ewing’s Sarcoma in MR Images. In: Piȩtka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Intelligent and Soft Computing, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13105-9_10
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DOI: https://doi.org/10.1007/978-3-642-13105-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13104-2
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