2026-04-07T11:25:47Zhttps://ebiltegia.mondragon.edu/oai/request

oai:ebiltegia.mondragon.edu:20.500.11984/16432024-03-04T15:06:19Zcom_20.500.11984_1143col_20.500.11984_1148

Ugarte, Done Izaguirre Altuna, Alberto 2020-04-23T13:23:56Z 2020-04-23T13:23:56Z 2012 2212-8271 https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=120347 https://hdl.handle.net/20.500.11984/1643 Modelling of anatomical parts is usually tackled through triangulated models with specialised Bio-CAD applications. If features beyond anatomy are required, geometry is usually translated into NURBS geometry for further modification in parametric feature based design CAD systems. But, they remain quite unmanageable yet. The authors present, validate and implement into a knowledge feature a methodology that generates an anatomically personalised trachea stent based a point cloud data extracted from a Computerised Axial Tomography with an open-source medical data visualisation application. eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ © 2012 The Authors Bio-CAD Knowledge based engineering Personalised trachea stent Design automation Unigraphics – NX Knowledge fusion Personalised Trachea Stent Designer: a Knowledge Feature http://purl.org/coar/resource_type/c_c94f