Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.
文献类型:期刊论文
作者 | Zheng, Hong; Qu, Xiaobo; Bai, Zhengjian; Liu, Yunsong; Guo, Di; Dong, Jiyang; Peng, Xi; Chen, Zhong |
刊名 | BMC MEDICAL IMAGING
![]() |
出版日期 | 2017 |
文献子类 | 期刊论文 |
英文摘要 | Background: Low-resolution images may be acquired in magnetic resonance imaging (MRI) due to limited data acquisition time or other physical constraints, and their resolutions can be improved with super-resolution methods. Since MRI can offer images of an object with different contrasts, e.g., T1-weighted or T2-weighted, the shared information between inter-contrast images can be used to benefit super-resolution. |
URL标识 | 查看原文 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12043] ![]() |
专题 | 深圳先进技术研究院_医工所 |
作者单位 | BMC MEDICAL IMAGING |
推荐引用方式 GB/T 7714 | Zheng, Hong,Qu, Xiaobo,Bai, Zhengjian,et al. Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.[J]. BMC MEDICAL IMAGING,2017. |
APA | Zheng, Hong.,Qu, Xiaobo.,Bai, Zhengjian.,Liu, Yunsong.,Guo, Di.,...&Chen, Zhong.(2017).Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity..BMC MEDICAL IMAGING. |
MLA | Zheng, Hong,et al."Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.".BMC MEDICAL IMAGING (2017). |
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。