Mazziotta J C, Pelizzari C C, Chen G T, Bookstein F L, Valentino D
Department of Neurology, UCLA School of Medicine, 90024.
J Cereb Blood Flow Metab. 1991 Mar;11(2):A51-6. doi: 10.1038/jcbfm.1991.37.
The comparison of data sets from individual subjects between imaging modalities is necessary in order to evaluate the normal physiologic responses of the brain or the pathophysiological changes that accompany disease states. Similarly, it is critical to compare data between individuals both within and across imaging modalities. In a collaborative project with a number of university groups, we have developed a system that allows for the within-subject alignment and registration of three-dimensional data sets obtained from different modalities for the same individuals. These data make use of proposed criteria for the optimal solution to positron emission tomography image acquisition and analysis originally established through a series of international workshops. The analysis takes into account errors induced by image acquisition, registration, and alignment with regard to scaling, translation, and rotation. Using the principles of morphometrics and homologous landmarks, the between-subject warping of individual brain anatomy to match that of other individuals, groups or an idealized model can be obtained. Resultant information can provide averaged between-subject data for populations of normal individuals or patients with specific neurologic disorders. Such a system, provides the means by which to compare objectively quantitative data between individuals in a highly automated fashion.
为了评估大脑的正常生理反应或伴随疾病状态的病理生理变化，有必要对来自个体受试者的不同成像模态的数据集进行比较。同样，在成像模态内部以及不同成像模态之间比较个体数据也至关重要。在与多个大学团队合作的项目中，我们开发了一个系统，该系统能够对同一受试者通过不同模态获取的三维数据集进行受试者内对齐和配准。这些数据采用了最初通过一系列国际研讨会确立的正电子发射断层扫描图像采集与分析最优解决方案的建议标准。该分析考虑了图像采集、配准以及在缩放、平移和旋转方面对齐所引起的误差。利用形态计量学原理和同源地标，可以实现个体脑解剖结构与其他个体、群体或理想化模型之间的受试者间变形匹配。所得信息可为正常个体群体或患有特定神经系统疾病的患者提供受试者间平均数据。这样一个系统提供了以高度自动化方式在个体之间客观比较定量数据的方法。
