Virtual spatial registration of stand-alone MRS data to MNI space

Virtual spatial registration of stand-alone MRS data to MNI space
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DOI:
10.1016/j.neuroimage.2006.10.043
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发表时间:
2007-02-15
期刊:
影响因子:
5.7
通讯作者:
Dan, Ippeita
Dan, Ippeita
中科院分区:
医学1区
文献类型:
--
作者:
Tsuzuki, Daisuke;Jurcak, Valer;Dan, Ippeita

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将脑功能数据注册到共同的立体脑空间有助于不同学科、研究甚至成像方式之间的数据共享和整合。因此,我们之前描述了一种将功能近红外光谱(fMRS)数据概率配准到蒙特利尔神经学研究所(MNI)坐标空间的方法,即使在没有受试者的磁共振图像时也可以使用。然而,这种方法需要使用3d数字化仪仔细测量头皮地标和fNIRS光电器件位置。在这里,我们提出了一种新的配准方法,基于模拟代替物理测量的光电定位。首先,我们构建了一种支架变形算法,并通过比较球形幻影和真实头部表面上支架的虚拟变形和实际变形来检验其有效性。差异可以忽略不计。接下来,我们在合成的头部和大脑上注册了虚拟持有者,代表了人群中大小和形状的变化。将注册位置归一化为MNI空间。通过在合成头部和大脑上重复这一过程,我们统计估计了最可能的MNI坐标值,并澄清了与此估计相关的误差,这些误差在头皮上的几毫米范围内。从本质上讲,目前的方法允许将完全独立的fNIRS数据空间配准到MNI空间,而无需使用补充测量。该方法不仅为FNIRS研究中的空间配准问题提供了一个实用的解决方案,而且还将加强神经影像学社区内的跨模式通信。(c) 2006爱思唯尔公司版权所有。
The registration of functional brain data to common stereotaxic brain space facilitates data sharing and integration across different subjects, studies, and even imaging modalities. Thus, we previously described a method for the probabilistic registration of functional near-infrared spectroscopy (fMRS) data onto Montreal Neurological Institute (MNI) coordinate space that can be used even when magnetic resonance images of the subjects are not available. This method, however, requires the careful measurement of scalp landmarks and fNIRS optode positions using a 3D-digitizer. Here we present a novel registration method, based on simulations in place of physical measurements for optode positioning. First, we constructed a holder deformation algorithm and examined its validity by comparing virtual and actual deformation of holders on spherical phantoms and real head surfaces. The discrepancies were negligible. Next, we registered virtual holders on synthetic heads and brains that represent size and shape variations among the population. The registered positions were normalized to MNI space. By repeating this process across synthetic heads and brains, we statistically estimated the most probable MNI coordinate values, and clarified errors, which were in the order of several millimeters across the scalp, associated with this estimation. In essence, the current method allowed the spatial registration of completely stand-alone fNIRS data onto MNI space without the use of supplementary measurements. This method will not only provide a practical solution to the spatial registration issues in FNIRS studies, but will also enhance cross-modal communications within the neuroimaging community. (c) 2006 Elsevier Inc. All rights reserved.