从纵向脑磁共振图像中持续重建皮质表面。
Consistent reconstruction of cortical surfaces from longitudinal brain MR images.
作者信息
Li Gang, Nie Jingxin, Shen Dinggang
机构信息
Department of Radiology and BRIC, University of North Carolina at Chapel Hill, USA.
出版信息
Med Image Comput Comput Assist Interv. 2011;14(Pt 2):671-9. doi: 10.1007/978-3-642-23629-7_82.
Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace's equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.
从纵向人脑磁共振图像中准确且一致地重建皮质表面，对于研究大脑皮质的细微形态变化具有重要意义。本文提出了一种新的可变形表面方法，用于从纵向磁共振图像中一致且准确地重建内、中、外皮质表面。具体而言，首先通过由拉普拉斯方程导出的力驱动的可变形表面方法，重建同一受试者所有对齐纵向图像的组均值图像的皮质表面。然后，通过将组均值图像的皮质表面共同变形到所有纵向图像，一致地重建纵向皮质表面。所提出的方法已成功应用于模拟和真实的纵向图像，证明了其有效性。
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