REDUCING MOTION ARTIFACTS IN TWO-DIMENSIONAL FOURIER TRANSFORM IMAGING
REDUCING MOTION ARTIFACTS IN TWO-DIMENSIONAL FOURIER TRANSFORM IMAGING
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DOI：
10.1016/0730-725x(86)91046-5
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发表时间：
1986-01-01
影响因子：
2.5
通讯作者：
PATRICK J L
中科院分区：
文献类型：
--
作者：
HAACKE E M;PATRICK J L
研究了运动对二维傅里叶变换成像的影响。具体计算描述的情况下，周期性运动。结果预测了常见的图像复制伪影，有时称为重影。导出了这些鬼点的位置和振幅的表达式。模拟的例子说明了图像退化的脉动流和平面运动。然后提出了几种减少运动伪影的方法。这些包括：视图的随机化、平均视图、将重复时间与呼吸周期匹配、混合成像、ROPE和科普。后两种方法重新安排数据采集，破坏了运动的连贯性。它们不会增加数据采集时间，并有望成为去除运动伪影的标准方法的一部分。实际恢复理想分辨率的最后一步可以通过使用运动模型和广义变换反演技术来完成。
The effects of motion in two-dimensional Fourier transform imaging (2DFT) are considered. Specific calculations describing the case of periodic motion are presented. The results predict the commonly seen artifact of image replication, sometimes referred to as ghosting. Expressions for both position and amplitude of these ghosts are derived. Simulated examples illustrate the image degradation for pulsatile flow and in plane motion. Several methods of reducing motion artifacts are then suggested. These include: randomization of views, averaging views, matching repeat times to the respiratory period, hybrid imaging, ROPE and COPE. The latter two methods reorder the data acquisition to destroy the coherence of the motion. They do not increase the data acquisition time and promise to be part of the standard approach to remove motion artifacts. The final step in actually recovering ideal resolution can be accomplished by using a model of the motion and a generalized transform inversion technique.