Abstract
Most of the dental implant planning systems implement 3D reconstructions of the CT-data in order to achieve more intuitive interfaces. This way, the dentists or surgeons can handle the patient’s virtual jaw in the space and plan the location, orientation and some other features of the implant from the orography and density of the jaw. The segmentation of the jaw tissues (the cortical bone, the trabecular core and the mandibular channel) is critical for this process, because each one has different properties and in addition, because an injury of the channel in the surgery may cause lip numbness. Current programs don’t carry out the segmentation process or just do it by hard thresholding or by means of exhaustive human interaction. This paper deals with the validation of fuzzy connectedness theory for the automated, accurate and time efficient segmentation of jaw tissues.
This work has been supported by the project MIRACLE (DPI2007-66782-C03-01-AR07) of Spanish Ministerio de Educación y Ciencia.
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Lloréns, R., Naranjo, V., Clemente, M., Alcañiz, M., Albalat, S. (2009). Validation of Fuzzy Connectedness Segmentation for Jaw Tissues. In: Mira, J., Ferrández, J.M., Álvarez, J.R., de la Paz, F., Toledo, F.J. (eds) Bioinspired Applications in Artificial and Natural Computation. IWINAC 2009. Lecture Notes in Computer Science, vol 5602. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02267-8_5
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DOI: https://doi.org/10.1007/978-3-642-02267-8_5
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