计算机科学 ›› 2019, Vol. 46 ›› Issue (1): 36-44.doi: 10.11896/j.issn.1002-137X.2019.01.006
衡阳1, 陈峰2, 徐剑峰3, 汤敏1,4,5
HENG Yang1, CHEN Feng2, XU Jian-feng3, TANG Min1,4,5
摘要: 为了改善心脏磁共振成像(Cardiac Magnetic Resonance,CMR)在实际应用中成像时间长且存在运动伪影等不足,将压缩感知理论(Compressed Sensing,CS)引入其中,充分利用K空间信息冗余的特性,实现由部分K空间数据重构心脏组织影像,在减少伪影、保证精度的同时加快成像速度。结合近3年的国内外文献,首先对CMR现状、常用序列和技术以及采样模式、压缩感知理论框架分别进行阐述;其次对CMR的最新成果及应用现状进行综述和概括;然后介绍压缩感知图像重构的相关定量评价指标,给出作者在CS-CMR图像重构方面的研究进展;最后总结当前研究中的不足,并展望未来的发展方向。
中图分类号:
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