Background-incorporated volumetric model for patient-specific surgical simulation: a segmentation-free, modeling-free framework
- 94 Downloads
Patient-specific surgical simulation imposes both practical and technical challenges. We propose a segmentation-free, modeling-free framework that creates medical volumetric models for intuitive volume deformation and manipulation in patient-specific surgical simulation.
The proposed framework creates a volumetric model based upon a new form of mesh structure, a Volume Proxy Mesh (VPM). The model can be generated in two phases: the vertex placement phase and mesh improvement phase. Vertices of a VPM are assigned to an initial location by curvature-based vertex placement method, and followed by mesh improvement performed by Particle Swarm Optimization (PSO).
The framework is applied to several kidney CT volume data. Using the framework, the resulting models are closely tailored to the detailed features of the datasets. Moreover, the resulting VPM meshes can support broader spectrum deformation between the manipulated organ and its surrounding tissues. Progress in the mesh quality of the final mesh also shows that PSO is feasible for mesh improvement.
The framework was applied to several kidney CT volume datasets. Using the framework, the resulting models are closely tailored to the detailed features of the datasets. Moreover, the resulting VPM meshes can support broader spectrum deformation between the manipulated organ and its surrounding tissues. Evaluation of final mesh quality shows that PSO is feasible for mesh improvement.
KeywordsPatient-specific surgical simulation Direct volume manipulation Volumetric models Segmentation-free Curvature Tetrahedral mesh improvement
Unable to display preview. Download preview PDF.
- 3.Bao C, Wang BL (2008) A open source based general framework for virtual surgery simulation. In: Proceedings of international conference on biomedical engineering and informatics, pp 575–579Google Scholar
- 14.Haluck R, Marshall R, Krummel T, Melkonian M (2001) Are surgery training programs ready for virtual reality? A survey of program directors in general surgery. Virtual Real Surg Train Programs 193(6): 660–665Google Scholar
- 15.Nakao M, Hung KWC, Yano S, Yoshimura Y, Minato K (2009) Adaptive proxy geometry for direct volume manipulation. IEEE Pacific VIS (to appear)Google Scholar
- 16.Hung KWC, Nakao M (2009) Automated volume sampling optimization for direct volume deformation in patient-specific surgical simulation. In: IEEE international symposium on biomedical imaging: from nano to macro, pp 1051–1054Google Scholar
- 19.Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: IEEE international conference on neural networks, pp 1942–1948Google Scholar
- 20.Eberhart RC, Shi Y (1998) Evolving artificial neural networks. In: Proceedings of 1998 international congress on neural networks and brain, pp PL5–PL13Google Scholar