Abstract
This paper shows successive steps in extraction and 3D visualization process of both anterior and posterior cruciate ligaments. In the first stage a region of interest including cruciate ligaments (CL) is outlined. The automatic method of location of the CL on the T1W MR knee images is based on fuzzy C-means (FCM) algorithm with median modification. The next step of that process is an extraction of the cruciate ligament structure using the fuzzy connectedness approach. In the last stage a 3D structures of the anterior cruciate ligament and posterior cruciate ligament are built. These spatial structure is created through layer composition of the base images by using a linear interpolation.
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Zarychta, P., Zarychta-Bargieła, A. (2010). Anterior and Posterior Cruciate Ligament – Extraction and 3D Visualization. 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_12
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DOI: https://doi.org/10.1007/978-3-642-13105-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13104-2
Online ISBN: 978-3-642-13105-9
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