Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity
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- 作者：Hong Zheng ; Xiaobo Qu ; Zhengjian Bai ; Yunsong Liu ; Di Guo…
- 关键词：Super ; resolution ; Multi ; contrast ; Statistical information ; Weight ; Non ; iterative process
- 刊名：BMC Medical Imaging
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：17
- 期：1
- 全文大小：3179KB
- 刊物主题：Imaging / Radiology;
- 出版者：BioMed Central
- ISSN：1471-2342
- 卷排序：17
文摘
BackgroundLow-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.