Surface models from medical image data typically suffer from artifacts such as staircases and terraces. Our goal is the (automated) generation of accurate and high quality surface models for surgical applications as well as simulations. The resulting surface models are evaluated regarding accuracy, smoothness, triangle quality (skewness), mesh resolution and homogeneity. The mesh generation process is focuses on image data preprocessing as well as postprocessing of the surface meshes (smoothing, remeshing, decimation).
Interactive Mesh Smoothing for Medical Applications Journal Article
Computer Graphics Forum, 32(8) , pp. 110–121, 2013.
Visually Guided Mesh Smoothing for Medical Applications Inproceedings
VCBM 2012 - Eurographics Workshop on Visual Computing for Biology and Medicine, pp. 91–98, Norrköping, 2012.
Physics-Based Simulation of Vascular Trees for Surgery Simulations Inproceedings
Second International Workshop on Digital Engineering, pp. 24-30, 2011.
Optimization of Vascular Surface Models for Computational Fluid Dynamics and Rapid Prototyping Inproceedings
Second International Workshop on Digital Engineering, pp. 16-23, 2011.
Context-Aware Mesh Smoothing for Biomedical Applications Journal Article
Computers and Graphics, 35(4) (4), pp. 755 – 767, 2011.
Distance-Aware Smoothing of Surface Meshes for Surgical Planning Inproceedings
International Workshop on Digital Engineering (IWDE), pp. 45–51, ACM, Magdeburg, 2010.
Generation of Smooth and Accurate Surface Models for Surgical Planning and Simulation Inproceedings
Proceedings of SPIE Medical Imaging, pp. to appear, San Diego, California, USA, 2010.
Vessel surface generation for surgical simulations Inproceedings
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. Poster Abstract, 2010.
Staircase-Aware Smoothing of Medical Surface Meshes Inproceedings
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), pp. 83–90, 2010.
Krankheitsfallspezifische Organmodelle für die interaktive Chirurgiesimulation Inproceedings
Schenk, Michael (Ed.): 13. IFF Wissenschaftstage, pp. 319–328, Fraunhofer-Institut für Fabrikbetrieb und -automatisierung Fraunhofer Verlag, 2010.
Generation of Smooth and Accurate Surface Models for Surgical Planning Inproceedings
Proc. of Vision, Modeling, and Visualization (VMV), pp. 381–382, Braunschweig, 2009.
Reducing Artifacts in Surface Meshes Extracted from Binary Volumes Journal Article
Journal of WSCG, 15 (1-3), pp. 67–74, 2007.
High-quality Surface Generation for Flow Simulation in Cerebral Aneurysms Inproceedings
CURAC, pp. 125–128, 2007.
Comparison of Fundamental Mesh Smoothing Algorithms for Medical Surface Models Inproceedings
Simulation und Visualisierung, pp. 289–304, SCS-Verlag, 2006.