Arndt S, Rajarethinam R, Cizadlo T, O'Leary D, Downhill J, Andreasen N C
Mental Health Clinical Research Center, Department of Psychiatry, University of Iowa, Iowa City 52242-1057, USA.
Psychiatry Res. 1996 Jul 31;67(2):145-54. doi: 10.1016/0925-4927(96)02904-6.
We report a magnetic resonance imaging (MRI) study in a large number of subjects that examines various analytic techniques for anatomical landmark information. The initial issue involved interrater reliability in locating landmarks along the midsagittal plane. Another issue dealt with using landmarks to register (linear) individual scans for subsequent analyses or more sophisticated registration techniques. We next explore the use of interlandmark distances as indices of brain size. Twenty-seven landmarks were chosen from the midsagittal slice of 101 abnormal subjects. Interrater reliability estimates on a subset of the scans were excellent overall. Rotating to anterior-posterior commissure points was the best of the tested two-point registrations, although an average angular rotation was better. Reliability and validity for landmark-derived measures of size were excellent. Landmark-based analyses offer opportunities to explore shape and size questions, although they are not appropriate for addressing all questions. Under specific conditions, landmark data can be generated quickly and accurately.
我们报告了一项针对大量受试者的磁共振成像(MRI)研究,该研究检验了用于解剖学标志信息的各种分析技术。最初的问题涉及沿正中矢状面定位标志点时的评分者间信度。另一个问题是使用标志点来配准(线性)个体扫描图像以便后续分析,或者采用更复杂的配准技术。接下来,我们探讨使用标志点间距离作为脑大小的指标。从101名异常受试者的正中矢状切片中选取了27个标志点。对部分扫描图像的评分者间信度估计总体上非常好。旋转到前后连合点是所测试的两点配准方法中最好的,不过平均角度旋转更好。基于标志点的大小测量的信度和效度都非常好。基于标志点的分析为探索形状和大小问题提供了机会,尽管它们并不适合解决所有问题。在特定条件下,标志点数据能够快速且准确地生成。