3D model-based method for vessel segmentattion in Tof-MRA
文献类型：会议论文
| 作者 | KUI FANG; DE-FENG WANG; L.M. LUI; SHOU-JUN ZHOU; W.C.W. CHU; A.T. AHUJA; PHENG ANN HENG |
| 出版日期 | 2011 |
| 会议名称 | Machine Learning and Cybernetics (ICMLC), 2011 International Conference on |
| 会议地点 | Guilin |
| 英文摘要 | In this paper, an automatic method to segment the blood vessel for 3D MRA (Magnetic Resonance Angiography) is presented. The segmentation process classifies MRA data into two parts: background and blood vessels. The process includes statistical model based on the voxel intensity and MRF model based on the context information of voxels. Both the models were built on 3D voxel, rather than on 2D. The proposed method is tested on the 3D Time-Of-Flight (TOF)-MRA data. The segmentation results give a good performance in extracting blood vessels. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3339]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | KUI FANG,DE-FENG WANG,L.M. LUI,et al. 3D model-based method for vessel segmentattion in Tof-MRA[C]. 见:Machine Learning and Cybernetics (ICMLC), 2011 International Conference on. Guilin. |
入库方式： OAI收割
来源：深圳先进技术研究院
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