MRC/UCT Medical Imaging Research Unit, Department of Human Biology, University of Cape Town, Observatory, South Africa.
Magn Reson Med. 2012 Oct;68(4):1097-108. doi: 10.1002/mrm.23314. Epub 2012 Jan 13.
Prospective motion correction methods using an optical system, diffusion-weighted prospective acquisition correction, or a free induction decay navigator have recently been applied to correct for motion in diffusion tensor imaging. These methods have some limitations and drawbacks. This article describes a novel technique using a three-dimensional-echo planar imaging navigator, of which the contrast is independent of the b-value, to perform prospective motion correction in diffusion weighted images, without having to reacquire volumes during which motion occurred, unless motion exceeded some preset thresholds. Water phantom and human brain data were acquired using the standard and navigated diffusion sequences, and the mean and whole brain histogram of the fractional anisotropy and mean diffusivity were analyzed. Our results show that adding the navigator does not influence the diffusion sequence. With head motion, the whole brain histogram-fractional anisotropy shows a shift toward lower anisotropy with a significant decrease in both the mean fractional anisotropy and the fractional anisotropy histogram peak location (P<0.01), whereas the whole brain histogram-mean diffusivity shows a shift toward higher diffusivity with a significant increase in the mean diffusivity (P<0.01), even after retrospective motion correction. These changes in the mean and the shape of the histograms are recovered substantially in the prospective motion corrected data acquired using the navigated sequence.
最近,已经应用了使用光学系统、扩散加权前瞻性采集校正或自由感应衰减导航器的前瞻性运动校正方法,以校正扩散张量成像中的运动。这些方法存在一些局限性和缺点。本文描述了一种使用三维回波平面成像导航器的新技术,其对比度不依赖于 b 值,可在不重新采集发生运动的体积的情况下,在扩散加权图像中进行前瞻性运动校正,除非运动超过某些预设阈值。使用标准和导航扩散序列采集水模体和人脑数据,并分析各向异性分数和平均弥散率的平均和全脑直方图。我们的结果表明,添加导航器不会影响扩散序列。在头部运动的情况下,全脑直方图各向异性分数向较低各向异性方向移动,平均各向异性分数和各向异性分数直方图峰值位置均显著降低(P<0.01),而全脑直方图平均弥散率向较高弥散率方向移动,平均弥散率显著增加(P<0.01),即使在进行了回顾性运动校正之后也是如此。在使用导航序列采集的前瞻性运动校正数据中,这些均值和直方图形状的变化得到了很大程度的恢复。