Kazemi Kamran, Moghaddam Hamid Abrishami, Grebe Reinhard, Gondry-Jouet Catherine, Wallois Fabrice
GRAMFC, Faculty of Medicine, University of Picardie Jules Verne, 80036 Amiens, France.
Neuroimage. 2007 Aug 15;37(2):463-73. doi: 10.1016/j.neuroimage.2007.05.004. Epub 2007 May 10.
Commonly used brain templates are based on adults' or children's brains. In this study, we create a neonatal brain template. This becomes necessary because of the pronounced differences not only in size but even more importantly in geometrical proportions of the brains of adults and children as compared to the ones of newborns. The template is created based on high resolution T1 magnetic resonance images of 7 individuals with gestational ages between 39 and 42 weeks at the dates of examination. As usual, the created template presents two characteristics in a single image: an average intensity and an average shape. The normalization process to map subjects to the same space is done using SPM2 (Statistical Parametric Mapping) and its deformation toolbox. It consists of two steps: an affine and a nonlinear registration for global and local alignments, respectively. The template was evaluated by (i) study of anatomical local deviations and (ii) amount of local deformations of brain tissues in normalized neonatal images. The extracted results were compared with the ones obtained by normalization using adult and pediatric templates. It was shown that the application of our neonatal brain template for alignment of neonatal images results in a pronounced increase in performance of the normalization procedure as indicated by reduction of deviation of anatomical equivalent structures. The neonatal atlas template is freely downloadable from http://www.u-picardie.fr/labo/GRAMFC.
常用的脑模板是基于成人或儿童的大脑构建的。在本研究中,我们创建了一个新生儿脑模板。之所以有必要这样做,是因为与新生儿的大脑相比,成人和儿童的大脑不仅在大小上,更重要的是在几何比例上存在显著差异。该模板是基于7名在检查时胎龄在39至42周之间的个体的高分辨率T1磁共振图像创建的。与往常一样,创建的模板在单一图像中呈现两个特征:平均强度和平均形状。使用SPM2(统计参数映射)及其变形工具箱将受试者映射到相同空间的归一化过程。它包括两个步骤:分别用于全局和局部对齐的仿射和非线性配准。通过(i)解剖局部偏差研究和(ii)归一化新生儿图像中脑组织的局部变形量来评估该模板。将提取的结果与使用成人和儿科模板进行归一化获得的结果进行比较。结果表明,应用我们的新生儿脑模板对新生儿图像进行对齐,如解剖等效结构偏差的减少所示,会导致归一化程序的性能显著提高。新生儿图谱模板可从http://www.u-picardie.fr/labo/GRAMFC免费下载。