Blind Multirigid Retrospective Motion Correction of MR Images

Blind Multirigid Retrospective Motion Correction of MR Images
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DOI:
10.1002/mrm.25266
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发表时间:
2015-04-01
影响因子:
3.3
通讯作者:
Schoelkopf, Bernhard
Schoelkopf, Bernhard
中科院分区:
医学3区
文献类型:
--
作者:
Loktyushin, Alexander;Nickisch, Hannes;Schoelkopf, Bernhard

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目的生理非刚性运动是成像时不可避免的,如腹部脏器等,会导致图像质量严重恶化。前瞻性的运动校正技术只能处理特殊类型的非刚性运动,因为它们只允许全局校正。迄今为止开发的回顾性方法需要导航序列或外部传感器的引导。我们提出了一个完全回顾性的非刚性运动校正方案,只需要原始数据作为输入。该方法基于一种正演模型,该模型通过将图像分割成具有局部刚性运动的小块来描述非刚性运动的影响。使用这个前向模型,我们构建了一个目标函数,我们可以针对每个patch的未知运动参数和底层的清晰图像进行优化。结果我们在二维和三维的合成数据和真实数据上对我们的方法进行了评价。使用标准成像序列获得体内数据。校正算法显著提高了图像质量。我们的计算统一设备架构(CUDA)启用图形处理单元实现确保可行的计算时间。结论该技术是第一个计算上可行的回顾性方法,它使用标准成像序列的原始数据,并允许在没有外部运动传感器引导的情况下校正非刚性运动。中华医学杂志,2015,33(3):557 - 568。(c) 2014 Wiley期刊公司
PurposePhysiological nonrigid motion is inevitable when imaging, e.g., abdominal viscera, and can lead to serious deterioration of the image quality. Prospective techniques for motion correction can handle only special types of nonrigid motion, as they only allow global correction. Retrospective methods developed so far need guidance from navigator sequences or external sensors. We propose a fully retrospective nonrigid motion correction scheme that only needs raw data as an input.MethodsOur method is based on a forward model that describes the effects of nonrigid motion by partitioning the image into patches with locally rigid motion. Using this forward model, we construct an objective function that we can optimize with respect to both unknown motion parameters per patch and the underlying sharp image.ResultsWe evaluate our method on both synthetic and real data in 2D and 3D. In vivo data was acquired using standard imaging sequences. The correction algorithm significantly improves the image quality. Our compute unified device architecture (CUDA)-enabled graphic processing unit implementation ensures feasible computation times.ConclusionThe presented technique is the first computationally feasible retrospective method that uses the raw data of standard imaging sequences, and allows to correct for nonrigid motion without guidance from external motion sensors. Magn Reson Med 73:1457-1468, 2015. (c) 2014 Wiley Periodicals, Inc.