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http://dx.doi.org/10.1007/978-1-84882-385-3_9

has been cited by the following article:

• TITLE: NURBS Parameterization for Medical Surface Reconstruction

  AUTHORS: Dalton Fazanaro, Paulo Amorim, Thiago Moraes, Jorge Silva, Helio Pedrini

  KEYWORDS: Parametric Modeling, Surface Fitting, B-Splines, STEP File Export, InVesalius

  JOURNAL NAME: Applied Mathematics, Vol.7 No.2, February 5, 2016

  ABSTRACT: InVesalius is an open-source software for reconstruction of computed tomography and magnetic resonance images, which allows the user to make analysis and segmentation of virtual anatomical models. Physical models can be printed with the aid of rapid prototyping, giving the medical community a reliable instrument to help planning surgeries. To offer the user more control over the model, this work describes a methodology and tool developed for NURBS parameterization that provides mechanisms for adjusting the shape or even selecting a particular region of interest of the surface. Furthermore, the tool gives the option to export the final results of the process to a STEP file, which allows further edition in any well-known CAD software.