| 快速有效的半自动组织分割技术 |
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| 引用本文： | 彭延军,石教英.快速有效的半自动组织分割技术[J].计算机辅助设计与图形学学报,2003,15(6):736-740. |
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| 作者姓名： | 彭延军 石教英 |
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| 作者单位： | 浙江大学CAD&CG国家重点实验室,杭州,310027 |
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| 基金项目： | 国家自然科学基金重点项目 ( 60 0 3 3 0 10 )，国家创新群体科学基金( 60 0 2 12 0 1)资助 |
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| 摘 要： | 针对医学可视化和虚拟内窥镜技术中的组织分割问题，提出边界模型和局部特征结构相结合的半自动解决方法，通过给定的特定体素点，结合边界模型找出特定组织的内部、外部体素，对边界体素计算汉森矩阵的特征值并按其特征结构进行分割．该方法只需要计算边界体素汉森矩阵的特征值，能够快速、有效地实现单一组织的分割．
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| 关 键 词： | 组织分割 医学 虚拟内窥镜 体素 汉森矩阵 特征值 图像分割 |
| 修稿时间： | 2002年4月3日 |
Quick and Efficient Techniques of Semi-Automatic Tissue Segmentation |
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| Peng Yanjun,Shi Jiaoying.Quick and Efficient Techniques of Semi-Automatic Tissue Segmentation[J].Journal of Computer-Aided Design & Computer Graphics,2003,15(6):736-740. |
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| Authors: | Peng Yanjun Shi Jiaoying |
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| Abstract: | Semi automatic tissue segmentation for medical visualization and virtual endoscopy was implemented by boundary model and local character structure techniques We found out inner voxels and outer voxels by pre appointing a specific voxel on boundary model And then, boundary voxels were correctly classified into different tissues by their eigenvalues of Hessian matrix based on the local character structure Only eigenvalues of the boundary voxels are computed, so little time is used compared with other algorithms based on local character structure It can quickly and effectively realize the segmentation of single tissue |
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| Keywords: | tissue segmentation medical visualization virtual endoscopy voxel |
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