Postelnicu Gheorghe, Zollei Lilla, Fischl Bruce
Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02176 USA.
IEEE Trans Med Imaging. 2009 Apr;28(4):508-22. doi: 10.1109/TMI.2008.2004426. Epub 2008 Aug 15.
In this paper, we propose a novel method for the registration of volumetric images of the brain that optimizes the alignment of both cortical and subcortical structures. In order to achieve this, relevant geometrical information is extracted from a surface-based morph and diffused into the volume using the Navier operator of elasticity, resulting in a volumetric warp that aligns cortical folding patterns. This warp field is then refined with an intensity driven optical flow procedure that registers noncortical regions, while preserving the cortical alignment. The result is a combined surface and volume morph (CVS) that accurately registers both cortical and subcortical regions, establishing a single coordinate system suitable for the entire brain.
在本文中,我们提出了一种用于脑容积图像配准的新方法,该方法优化了皮质和皮质下结构的对齐。为了实现这一点,从基于表面的形态中提取相关几何信息,并使用弹性的纳维算子将其扩散到容积中,从而产生使皮质折叠模式对齐的容积变形。然后,通过强度驱动的光流程序对该变形场进行细化,该程序对非皮质区域进行配准,同时保留皮质对齐。结果是一个组合的表面和容积形态(CVS),它能精确地配准皮质和皮质下区域,建立一个适用于整个大脑的单一坐标系。