Abstract
The use of haptic interfaces in surgery could provide the surgeon useful sensing information about the patient tissues. Our goal in this work, is to use the haptic interface to obtain some sample points on the surface of an object or organ tissue in medical applications. This elasticity information feeds an artificial neural network. The output of the neural network is an approximation of the compliance of the object which is touched, as well as the coordinates of 3D surface points which in fact are used for the 3D surface reconstruction of the object. Experimental results show that the reconstruction of objects from a elasticity point of view is possible, and that the use of a haptic interface can improve the performance of 3D reconstruction algorithms.
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Castillo-Muñiz, E., Rivera-Rovelo, J., Bayro-Corrochano, E. (2012). Using Haptic and Neural Networks for Surface and Mechanical Properties 3D Reconstruction. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2012. Lecture Notes in Computer Science, vol 7656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35377-2_59
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DOI: https://doi.org/10.1007/978-3-642-35377-2_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35376-5
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