The processing of point clouds for brain deformation existing in image guided neurosurgery system.
- Author:
Xufeng YAO
1
;
Yixun LIN
;
Zhijian SONG
Author Information
1. Digital Medicine Research Center of Fudan University, Shanghai 200032, China.
- Publication Type:Journal Article
- MeSH:
Brain;
anatomy & histology;
surgery;
Cerebral Cortex;
anatomy & histology;
Finite Element Analysis;
Humans;
Imaging, Three-Dimensional;
methods;
Models, Anatomic;
Neuronavigation;
methods;
Neurosurgery;
instrumentation;
methods;
Surgery, Computer-Assisted;
methods;
User-Computer Interface
- From:
Journal of Biomedical Engineering
2008;25(4):751-755
- CountryChina
- Language:Chinese
-
Abstract:
The finite element method (FEM) plays an important role in solving the brain deformation problem in the image guided neurosurgery system. The position of the brain cortex during the surgery provides the boundary condition for the FEM model. In this paper, the information of brain cortex is represented by the unstructured points and the boundary condition is achieved by the processing of unstructured points. The processing includes the mapping of texture, segmentation, simplification and denoising. The method of k-nearest clustering based on local surface properties is used to simplify and denoise the unstructured point clouds. The results of experiment prove the efficiency of point clouds processing.
