Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI
Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI
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DOI：
10.1006/nimg.1999.0534
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发表时间：
2000-09-01
期刊：
影响因子：
5.7
通讯作者：
Evans, AC
中科院分区：
文献类型：
--
作者：
MacDonald, D;Kabani, N;Evans, AC
可变形模型极大地帮助了大型多维图像（例如磁共振成像（MRI）生成的图像）的自动计算机处理，可变形模型用于提取、识别和量化特定的神经解剖结构。这里提出了一种使多面体变形的通用方法，具有两个新颖的特征，首先，提供了对自相交表面几何形状的明确防止，这与传统的可变形模型不同，传统的可变形模型使用正则化约束来阻止但不一定防止这种行为。其次，具有表面间邻近约束的多个表面的变形允许每个表面使用基于模型的约束（例如解剖表面的预期厚度）帮助引导其他表面就位。这两个特征可有利地用于从正常人类 MR 图像中自动识别大脑皮质灰质的外边界和内边界的总表面，从而准确定位脑沟的深度，即使图像中的噪声和部分体积伪影模糊了脑沟的可见性。提取的表面被强制为简单的二维流形（具有球体拓扑），即使数据可能存在拓扑空洞，这种自动 3D 皮层分割技术已应用于 150 名正常受试者，同时提取每个个体的灰/白和灰/脑脊液界面。表面的集合已用于创建皮质灰质位置和厚度的平均值和标准差的空间图。制定并比较了定义每个皮质位置的皮质厚度的三个替代标准。这些结果证实了已发表的尸检和体内皮质厚度测量结果。 (C) 2000 年学术出版社。
Automatic computer processing of large multidimensional images such as those produced by magnetic resonance imaging (MRI) is greatly aided by deformable models, which are used to extract, identify, and quantify specific neuroanatomic structures. A general method of deforming polyhedra is presented here, with two novel features, First, explicit prevention of self-intersecting surface geometries is provided, unlike conventional deformable models, which use regularization constraints to discourage but not necessarily prevent such behavior. Second, deformation of multiple surfaces with intersurface proximity constraints allows each surface to help guide other surfaces into place using model-based constraints such as expected thickness of an anatomic surface. These two features are used advantageously to identify automatically the total surface of the outer and inner boundaries of cerebral cortical gray matter from normal human MR images, accurately locating the depths of the sulci, even where noise and partial volume artifacts in the image obscure the visibility of sulci. The extracted surfaces are enforced to be simple two-dimensional manifolds (having the topology of a sphere), even though the data may have topological holes, This automatic 3-D cortex segmentation technique has been applied to 150 normal subjects, simultaneously extracting both the gray/white and gray/cerebrospinal fluid interface from each individual. The collection of surfaces has been used to create a spatial map of the mean and standard deviation for the location and the thickness of cortical gray matter. Three alternative criteria for defining cortical thickness at each cortical location were developed and compared. These results are shown to corroborate published postmortem and in vivo measurements of cortical thickness. (C) 2000 Academic Press.