MOTION-COMPENSATED COMPRESSED-SENSING RECONSTRUCTION FOR DYNAMIC MRI

被引：0
|
作者：
Mun, Sungkwang [1 ]
Fowler, James E. [1 ]
机构：
[1] Mississippi State Univ, Geosyst Res Inst, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA
来源：
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | 2013年
关键词：
compressed sensing; dynamic MRI; SIGNAL RECONSTRUCTION;
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Compressed-sensing reconstruction using motion estimation and compensation for dynamic MRI data is proposed. Reconstruction is driven from a residual in the k-space domain between the current-frame measurements and a corresponding motion-compensated prediction. Due to the periodicity commonly exhibited in dynamic MRI, a telescopic motion search through the entire group of pictures is used to determine the best match for the block-based motion estimation. Experimental comparisons demonstrate improved performance as compared to existing dynamic-MRI reconstructions, both those with and without motion compensation.
引用
收藏
页码：1006 / 1010
页数：5
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