Shen S, Sterr A, Szameitat A
Dept. of Psychol., Surrey Univ.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3051-4. doi: 10.1109/IEMBS.2005.1617118.
Voxel-based morphometry (VBM) is an automated method allowing identification of anatomical differences in the whole brain without the pre-specification of a region of interests. Spatial normalization is one of the major processes in VBM, which transforms all images to a standard template. A variety of templates were employed in VBM researches in the literature, including the MNI template and study-specific templates. Few studies were presented to test the effect of templates on the detection accuracy of VBM, although it is claimed in many papers that the study-specific template performs better. However, the creation of the study-specific template differs on the subjects included. In this paper, the gray matter (GM) difference of two groups (female vs male) was analyzed to evaluate the effects of templates on the VBM results. The statistic parametric mapping (SPM) package, as the standard software for VBM implementation, was used for analyses.
基于体素的形态学测量（VBM）是一种自动化方法，可在无需预先指定感兴趣区域的情况下识别全脑的解剖差异。空间归一化是VBM的主要过程之一，它将所有图像转换为标准模板。文献中的VBM研究采用了多种模板，包括MNI模板和特定研究模板。尽管许多论文声称特定研究模板表现更好，但很少有研究测试模板对VBM检测准确性的影响。然而，特定研究模板的创建因所包含的受试者不同而有所差异。本文分析了两组（女性与男性）的灰质（GM）差异，以评估模板对VBM结果的影响。作为VBM实施的标准软件，统计参数映射（SPM）软件包用于分析。
