Registration-based autofocusing technique for automatic correction of motion artifacts in time-series studies of high-resolution bone MRI.
Registration-based autofocusing technique for automatic correction of motion artifacts in time-series studies of high-resolution bone MRI.
复制标题
基于配准的自动聚焦技术，用于自动校正高分辨率骨 MRI 时间序列研究中的运动伪影。
DOI：
10.1002/jmri.24646
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Wehrli,FelixW
中科院分区：
文献类型：
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作者：
Zhang,Ning;Magland,JeremyF;Song,HeeKwon;Wehrli,FelixW
目的开发一种基于配准的自动聚焦（RAF）运动校正技术，用于高分辨率骨小梁（TB）成像，并评估其在体内MR数据上的性能。材料和方法该技术将序列配准与先前开发的运动校正技术（自动对焦）相结合，用于自动校正纵向研究中获得的MR图像的受试者运动退化。该方法在12名女性（年龄50-75岁）桡骨远端体内图像上进行了测试，以测量参数序列可重复性的改善，并与导航器基于回波的校正和自动聚焦进行了比较。此外，该技术的能力优化灵敏度，以检测模拟骨质流失是确定的。结果新技术获得的结构和力学参数具有良好的再现性。通过导航回波、自动对焦和RAF技术（没有和有旋转运动校正）进行校正后，所有参数的平均变异系数分别提高了12.5%、27.0%、33.5%和37.0%；平均类内相关系数分别增加了1.2%、2.2%、2.8%和3.2%。此外，在时间序列中，模拟骨质流失（5%）的恢复与参考图像的选择无关（使用原始图像或骨质流失图像分别为4.71%和4.86%）。结论我们的技术可以在改善扫描间配准的同时，纠正扫描内运动损坏。此外，该技术不会因时间点之间骨结构的微小变化而产生偏差。粉剂。的原因。成像2015;41:954 - 963。©2014 Wiley期刊公司
PurposeTo develop a registration‐based autofocusing (RAF) motion correction technique for high‐resolution trabecular bone (TB) imaging and to evaluate its performance on in vivo MR data.Materials and MethodsThe technique combines serial registration with a previously developed motion correction technique — autofocusing — for automatic correction of subject movement degradation of MR images acquired in longitudinal studies. The method was tested on in vivo images of the distal radius to measure improvements in serial reproducibility of parameters in 12 women (ages 50–75 years), and to compare with the navigator echo‐based correction and autofocusing. Furthermore, the technique's ability to optimize the sensitivity to detect simulated bone loss was ascertained.ResultsThe new technique yielded superior reproducibility of image‐derived structural and mechanical parameters. Average coefficient of variation across all parameters improved by 12.5%, 27.0%, 33.5%, and 37.0%, respectively, following correction by navigator echoes, autofocusing, and the RAF technique (without and with correction for rotational motion); average intra‐class correlation coefficient increased by 1.2%, 2.2%, 2.8%, and 3.2%, respectively. Furthermore, simulated bone loss (5%) was well recovered independent of the choice of reference image (4.71% or 4.86% with respect to using either the original or the image subjected to bone loss) in the time series.ConclusionThe data suggest that our technique simultaneously corrects for intra‐scan motion corruption while improving inter‐scan registration. Furthermore, the technique is not biased by small changes in bone architecture between time‐points.J. Magn. Reson. Imaging 2015;41:954–963. ©2014 Wiley Periodicals, Inc.