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首页> 外文期刊>NeuroImage >Single-shot compensation of image distortions and BOLD contrast optimization using multi-echo EPI for real-time fMRI.
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Single-shot compensation of image distortions and BOLD contrast optimization using multi-echo EPI for real-time fMRI.

机译:使用多回波EPI进行实时fMRI的单次图像失真补偿和BOLD对比度优化。

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摘要

Functional magnetic resonance imaging (fMRI) is most commonly based on echo-planar imaging (EPI). With higher field strengths, gradient performance, and computational power, real-time fMRI has become feasible; that is, brain activation can be monitored during the ongoing scan. However, EPI suffers from geometric distortions due to inhomogeneities of the magnetic field, especially close to air-tissue interfaces. Thus, functional activations might be mislocalized and assigned to the wrong anatomical structures. Several techniques have been reported which reduce geometric distortions, for example, mapping of the static magnetic field B(0) or the point spread function for all voxels. Yet these techniques require additional reference scans and in some cases extensive computational time. Moreover, only static field inhomogeneities can be corrected, because the correction is based on a static reference scan. We present an approach which allows for simultaneous acquisition and distortion correction of a functional image without a reference scan. The technique is based on a modified multi-echo EPI data acquisition scheme using a phase-encoding (PE) gradient with alternating polarity. The images exhibit opposite distortions due to the inverted PE gradient. After adjusting the contrast of the images acquired at different echo times, this information is used for the distortion correction. We present the theory, implementation, and applications of this single-shot distortion correction. Significant reduction in geometric distortion is shown both for phantom images and human fMRI data. Moreover, sensitivity to the blood oxygen level-dependent (BOLD) effect is increased by weighted summation of the undistorted images.
机译:功能磁共振成像(fMRI)最普遍地基于回波平面成像(EPI)。随着更高的场强,梯度性能和计算能力,实时功能磁共振成像变得可行。也就是说,可以在正在进行的扫描期间监视大脑的激活。然而,由于磁场的不均匀性,特别是靠近空气-组织界面,EPI遭受几何变形。因此,功能激活可能会错误定位并分配给错误的解剖结构。已经报道了几种减少几何变形的技术,例如,静磁场B(0)的映射或所有体素的点扩展函数。然而,这些技术需要额外的参考扫描,在某些情况下还需要大量的计算时间。此外,由于校正是基于静态参考扫描的,因此只能校正静态场的不均匀性。我们提出一种无需参考扫描即可同时采集功能图像并进行畸变校正的方法。该技术基于使用具有交替极性的相位编码(PE)梯度的改进的多回波EPI数据采集方案。由于反向的PE梯度,图像显示出相反的失真。在调整了在不同回波时间获取的图像的对比度之后,此信息将用于失真校正。我们介绍了这种单次失真校正的理论,实现和应用。幻影图像和人类fMRI数据均显示出几何变形的显着降低。此外,通过对未失真图像进行加权求和,可以提高对血氧水平依赖性(BOLD)效果的敏感性。

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