Wang Lei, Khan Ali, Csernansky John G, Fischl Bruce, Miller Michael I, Morris John C, Beg M Faisal
Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA.
Hippocampus. 2009 Jun;19(6):541-8. doi: 10.1002/hipo.20616.
Landmark-based high-dimensional diffeomorphic maps of the hippocampus (although accurate) is highly-dependent on rater's anatomic knowledge of the hippocampus in the magnetic resonance images. It is therefore vulnerable to rater drift and errors if substantial amount of effort is not spent on quality assurance, training, and re-training. A fully-automated, FreeSurfer-initialized large-deformation diffeomorphic metric mapping procedure of small brain substructures, including the hippocampus, has been previously developed and validated in small samples. In this report, we demonstrate that this fully-automated pipeline can be used in place of the landmark-based procedure in a large-sample clinical study to produce similar statistical outcomes. Some direct comparisons of the two procedures are also presented.
基于地标点的海马体高维微分同胚映射（尽管准确）高度依赖于评级者对磁共振图像中海马体的解剖学知识。因此，如果不在质量保证、培训和再培训上投入大量精力，就容易出现评级者偏差和错误。此前已开发出一种全自动的、以FreeSurfer初始化的小脑亚结构（包括海马体）大变形微分同胚度量映射程序，并在小样本中进行了验证。在本报告中，我们证明了在大样本临床研究中，这种全自动流程可替代基于地标点的程序，以产生相似的统计结果。我们还对这两种程序进行了一些直接比较。
