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  • 标题:Compressed Sensing for brain MRIs
  • 本地全文:下载
  • 作者:Xiaowei Tong ; Jie Han
  • 期刊名称:Advances in Computer Science and its Applications
  • 印刷版ISSN:2166-2924
  • 出版年度:2012
  • 卷号:1
  • 期号:1
  • 页码:67-72
  • 语种:English
  • 出版社:World Science Publisher
  • 摘要:Compressed sensing and magnetic resonance imaging are hot topics in the field of signal processing. In this study we introduced in Lustig’s variable density sampling method, integrated it to compressed sensing, and applied it to brain MRI acquisition. The realistic experiment shows the variable density sampling recovery better than traditional random sampling method on a 256x256 brain magnetic resonance image at acceleration factor as 3.
  • 关键词:Compressed Sensing;brain MRIs;Variable Density Sampling;Random Sampling
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