Callaghan Martina F, Josephs Oliver, Herbst Michael, Zaitsev Maxim, Todd Nick, Weiskopf Nikolaus
Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London London, UK.
Department of Radiology, University Medical Centre Freiburg Freiburg, Germany ; Department of Medicine, John A. Burns School of Medicine Hawaii, HI, USA.
Front Neurosci. 2015 Mar 25;9:97. doi: 10.3389/fnins.2015.00097. eCollection 2015.
Quantitative imaging aims to provide in vivo neuroimaging biomarkers with high research and diagnostic value that are sensitive to underlying tissue microstructure. In order to use these data to examine intra-cortical differences or to define boundaries between different myelo-architectural areas, high resolution data are required. The quality of such measurements is degraded in the presence of motion hindering insight into brain microstructure. Correction schemes are therefore vital for high resolution, whole brain coverage approaches that have long acquisition times and greater sensitivity to motion. Here we evaluate the use of prospective motion correction (PMC) via an optical tracking system to counter intra-scan motion in a high resolution (800 μm isotropic) multi-parameter mapping (MPM) protocol. Data were acquired on six volunteers using a 2 × 2 factorial design permuting the following conditions: PMC on/off and motion/no motion. In the presence of head motion, PMC-based motion correction considerably improved the quality of the maps as reflected by fewer visible artifacts and improved consistency. The precision of the maps, parameterized through the coefficient of variation in cortical sub-regions, showed improvements of 11-25% in the presence of deliberate head motion. Importantly, in the absence of motion the PMC system did not introduce extraneous artifacts into the quantitative maps. The PMC system based on optical tracking offers a robust approach to minimizing motion artifacts in quantitative anatomical imaging without extending scan times. Such a robust motion correction scheme is crucial in order to achieve the ultra-high resolution required of quantitative imaging for cutting edge in vivo histology applications.
定量成像旨在提供具有高研究和诊断价值的体内神经成像生物标志物,这些标志物对潜在的组织微观结构敏感。为了利用这些数据检查皮质内差异或定义不同髓鞘结构区域之间的边界,需要高分辨率数据。在存在运动的情况下,此类测量的质量会下降,从而妨碍对脑微观结构的洞察。因此,校正方案对于具有长采集时间且对运动更敏感的高分辨率全脑覆盖方法至关重要。在这里,我们评估通过光学跟踪系统使用前瞻性运动校正(PMC)来对抗高分辨率(各向同性800μm)多参数映射(MPM)协议中的扫描内运动。使用2×2析因设计对六名志愿者进行数据采集,对以下条件进行排列:PMC开启/关闭和运动/无运动。在存在头部运动的情况下,基于PMC的运动校正显著提高了图谱质量,表现为可见伪影减少且一致性提高。通过皮质子区域的变异系数进行参数化的图谱精度在存在故意头部运动的情况下提高了11 - 25%。重要的是,在没有运动的情况下,PMC系统不会在定量图谱中引入额外的伪影。基于光学跟踪的PMC系统提供了一种强大的方法,可在不延长扫描时间的情况下最小化定量解剖成像中的运动伪影。这样一种强大的运动校正方案对于实现前沿体内组织学应用的定量成像所需的超高分辨率至关重要。