Interactive Mesh Smoothing for Medical Applications
Article first published online: 30 JUL 2013
© 2013 The Authors Computer Graphics Forum © 2013 The Eurographics Association and John Wiley & Sons Ltd.
Computer Graphics Forum
Volume 32, Issue 8, pages 110–121, December 2013
How to Cite
Mönch, T., Lawonn, K., Kubisch, C., Westermann, R. and Preim, B. (2013), Interactive Mesh Smoothing for Medical Applications. Computer Graphics Forum, 32: 110–121. doi: 10.1111/cgf.12165
- Issue published online: 27 NOV 2013
- Article first published online: 30 JUL 2013
- German Federal Ministry of Education and Research (BMBF). Grant Number: 01IM10002B
- Geometric modelling;
- GPUs and their application for general purpose computing;
- I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling Curve;
- object representations
Surface models derived from medical image data often exhibit artefacts, such as noise and staircases, which can be reduced by applying mesh smoothing filters. Usually, an iterative adaption of smoothing parameters to the specific data and continuous re-evaluation of accuracy and curvature is required. Depending on the number of vertices and the filter algorithm, computation time may vary strongly and interfere with an interactive mesh generation procedure. In this paper, we present an approach to improve the handling of mesh smoothing filters. Based on a GPU mesh smoothing implementation of uniform and anisotropic filters, model quality is evaluated in real-time and provided to the user to support the mental optimization of input parameters. This is achieved by means of quality graphs and quality bars. Moreover, this framework is used to find appropriate smoothing parameters automatically and to provide data-specific parameter suggestions. These suggestions are employed to generate a preview gallery with different smoothing suggestions. The preview functionality is additionally used for the inspection of specific artefacts and their possible reduction with different parameter sets.