Post-hoc physiological waveform extraction from motion estimation in simultaneous multislice (SMS) functional MRI using separate stack processing.
Post-hoc physiological waveform extraction from motion estimation in simultaneous multislice (SMS) functional MRI using separate stack processing.
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DOI：
10.1002/mrm.28418
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发表时间：
2021-01
影响因子：
3.3
通讯作者：
Frederick BB
中科院分区：
文献类型：
--
作者：
Hocke LM;Frederick BB
运动估计是功能磁共振成像（fMRI）预处理的重要步骤。通常，fMRI处理软件包（如FSL和AFNI）会自动估计运动参数，以抵消运动的影响。然而，fMRI数据的运动估计的时间过程包含了生理过程的信息。在这里，我们表明呼吸和心脏信号可以在比当前方法更高的带宽下从运动估计中提取。为了以高有效时间分辨率（HighRes）检测运动，对同时获取的图像切片的运动参数分别进行估计，然后进行组合。通过从静息状态功能磁共振成像（rsfMRI）数据中提取生理运动信号（增强的Nathan Kline研究所- Rockland样本），并将其与呼吸带和脉搏血氧仪信号进行比较，验证了该方法。从TR=0.645和1.4 s的数据中分别提取了有效采样率为15.5和11.4 Hz的HighRes运动时程。呼吸波形的提取精度明显高于原始运动参数。即使心脏波形也可以被提取，尽管采样时间或重复时间（TR）值太长，无法采样心脏频率。高分辨率运动轨迹提供了比使用标准技术估计的频率更高的对象运动的洞察力。在最简单的形式中，这项技术可以恢复准确的呼吸信号，并可能揭示大脑运动的额外复杂性。
Motion estimation is an essential step in functional Magnetic Resonance Imaging (fMRI) preprocessing. Usually, fMRI processing software packages (e.g. FSL and AFNI) automatically estimate motion parameters in order to counteract the effects of motion. However, the time courses of the motion estimation for fMRI data contain information about physiological processes. Here we show that respiration and cardiac signals can be extracted from motion estimation at significantly higher bandwidth than is possible with current methods. In order to detect motion at high effective temporal resolution (HighRes), the motion parameters of stacks of simultaneously acquired slices were estimated separately, then combined. This method was validated by extracting physiological motion signals from resting state fMRI (rsfMRI) data (Enhanced Nathan Kline Institute - Rockland Sample) and comparing them to respiration belt and pulse oximeter signals. HighRes motion time-courses with an effective sampling rate of 15.5 and 11.4 Hz were extracted from TR=0.645 and 1.4 s data, respectively. Respiration waveforms were extracted with significantly higher accuracy than the original motion parameters. Even cardiac waveforms could be extracted, despite the fact that the sampling time or repetition time (TR) values were too long to sample cardiac frequencies. HighRes motion traces provide insight into the subjects’ motion at higher frequencies than can be estimated using standard techniques. In its simplest form, this technique can recover accurate respiration signals and may reveal additional complexity in brain motion.
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利用自导航同步多切片回波平面成像采集进行高时间分辨率运动估算。
DOI：
10.1002/jmri.25953
发表时间：
2018-02-13
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
--
作者：
Teruel JR;Kuperman JM;Dale AM;White NS
通讯作者：
White NS
静止状态fMRI中的最新进展和运动校正问题。
影响因子：
5.7
作者：
Power JD;Schlaggar BL;Petersen SE
通讯作者：
Petersen SE
影响因子：
5.7
作者：
Chang C;Metzger CD;Glover GH;Duyn JH;Heinze HJ;Walter M
通讯作者：
Walter M
影响因子：
5.7
作者：
Power JD;Plitt M;Laumann TO;Martin A
通讯作者：
Martin A
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y