解剖性脑 MRI 的全脑分割及变化点分析--Premanifest 亨廷顿病的应用
June 9th, 2018
•Dan Wu1, Andreia V. Faria1, Laurent Younes2,3,4, Christopher A. Ross5, Susumu Mori1,6, Michael I. Miller2,3,7
1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 2Center for Imaging Science, Johns Hopkins University, 3Institute for Computational Medicine, Johns Hopkins University, 4Department of Applied Mathematics and Statistics, Johns Hopkins University, 5Division of Neurobiology, Departments of Psychiatry, Neurology, Neuroscience and Pharmacology, and Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, 6F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, 7Department of Biomedical Engineering, Johns Hopkins University
本文介绍了一种容积 MRI 数据分析的统计模型, 它确定了 premanifest 亨廷顿病脑萎缩开始时的 "变化点"。利用基于地图集的 T1-weighted 图像分割管道获得的脑容量, 实现了变化点的全脑映射。
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