Applied Mathematics

Volume 7, Issue 2 (February 2016)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

NURBS Parameterization for Medical Surface Reconstruction

HTML  XML Download Download as PDF (Size: 1035KB)  PP. 137-144  
DOI: 10.4236/am.2016.72013    5,824 Downloads   7,075 Views  Citations

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.

Share and Cite:

Fazanaro, D. , Amorim, P. , Moraes, T. , Silva, J. and Pedrini, H. (2016) NURBS Parameterization for Medical Surface Reconstruction. Applied Mathematics, 7, 137-144. doi: 10.4236/am.2016.72013.

Cited by

[1] Region-Based Convolutional Neural Network-Based Spine Model Positioning of X-Ray Images
BioMed Research International, 2022
[2] Three-Dimensional Medical Imaging: Concepts and Applications
2021
[3] An Introductory Review to Surface Reconstruction
2020
[4] Web-based Interactive Visualization of Medical Images in a Distributed System
2019
[5] Web-based Interactive Visualization of Medical Images in a Distributed System.
2019
[6] Design and optimization of a magnet pole for Magnetic Resonant Imaging
2018
[7] Representação out-of-core de malhas triangulares para renderização de grandes volumes de dados
2017
[8] Comparison of 3d reformat computed tomography images using different softwares: do they have an incremental value in 3D imaging?
2017
[9] 應用模糊語意與造形摻合於蘭花造形髮簪之系統開發
臺灣成功大學學位論文, 2017
[10] Out-of-Core Progressive Web-Based Rendering of Triangle Meshes
VipIMAGE 2017, 2017

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.