Abstract
In this paper we address the problem of virtual central navigation in 3D tubular structures. A virtual mobile robot, equipped with a neuro-fuzzy controller, is trained to navigate inside image datasets of tubular structures, keeping a central position; virtual range sensors are used to sense the surrounding walls and to provide input to the controller. Aim of this research is the identification of smooth and continuous central paths which are useful in several medical applications: virtual endoscopy, virtual colonoscopy, virtual angioscopy, virtual bronchoscopy, etc. We fully validated the algorithm on synthetic datasets, and performed successful experiments on a colon dataset.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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Ferrarini, L., Olofsen, H., Reiber, J.H.C., Admiraal-Behloul, F. (2005). A NeuroFuzzy Controller for 3D Virtual Centered Navigation in Medical Images of Tubular Structures. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_59
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DOI: https://doi.org/10.1007/11550907_59
Publisher Name: Springer, Berlin, Heidelberg
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