Robust Fat-water Separation using Binary Decision Tree Algorithm
文献类型：会议论文
| 作者 | Peng Hao; Zou Chao; Liu Wenzhong; Cheng Chuanli; Qiao Yangzi; Wan Qian; Tie Changjun; Liu Xin; Zheng Hairong |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Paris Expo Porte de Versailles Paris, France |
| 英文摘要 | Purpose: To propose an robust fat water separation method using binary decision tree algorithm. Methods: In this paper, a novel fat-water separation algorithm using binary decision tree is proposed. Pixels are firstly clustered into sub-regions. Different from existing region growing algorithms, the proposed method solves the phasor ambiguity problem region by region. The method was tested on data sets from ISMRM 2012 Challenge. Results:Fat-water separation were successfully achieved by the proposed method in the datasets. Conclusion: A novel method using binary decision tree algorithm is proposed for robust and accurate water-fat separation. |
| URL标识 | 查看原文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14547]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Peng Hao,Zou Chao,Liu Wenzhong,et al. Robust Fat-water Separation using Binary Decision Tree Algorithm[C]. 见:. Paris Expo Porte de Versailles Paris, France. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。