Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system
文献类型：会议论文
| 作者 | Shoujun Zhou; Wufan Chen; Fucang Jia; Qingmao Hu; Yaoqin Xie; Mingyang Chen; Shang Peng |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Medical Imaging Physics and Engineering, ICMIPE 2013 |
| 会议地点 | Shenyang, China |
| 英文摘要 | Existing maximum a posteriori probability and Markov random field (MRF) models have limitations associated with that the ordinary neighborhood system being unable to differentiate subtle changes due to several-to-one correspondence within the neighborhood. Aiming at overcoming the limitations and applications to segmentation of cerebral vessels from magnetic resonance angiography images, we proposed a multi-pattern neighborhood system and corresponding energy equation to enable the MRF model for segmenting fine cerebral vessels with complicated context. In the implementation, a candidate space of cerebral vessels was employed to reduce the time-consumption, which was based on a threshold of the response to multi-scale filtering. A set of phantoms simulating segmentation challenges of vessels have been devised to quantitatively validate the algorithm. In addition, ten three-dimensional clinical datasets have been used to validate the algorithm qualitatively. It has been shown that the proposed method could yield smaller error and improve the spatial resolution of MRF model. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4994]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Shoujun Zhou,Wufan Chen,Fucang Jia,et al. Segmentation of brain magnetic resonance angiography images based on MAP-MRF with multi-pattern neighborhood system[C]. 见:2013 IEEE International Conference on Medical Imaging Physics and Engineering, ICMIPE 2013. Shenyang, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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