几何驱动的体积配准

Geometry driven volumetric registration.

作者信息

Postelnicu Gheorghe, Zollei Lilla, Desikan Rahul, Fischl Bruce

机构信息

MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.

出版信息

Inf Process Med Imaging. 2007;20:675-86. doi: 10.1007/978-3-540-73273-0_56.

DOI:10.1007/978-3-540-73273-0_56

PMID:17633739

Abstract

In this paper, we propose a novel method for the registration of volumetric images of the brain that attempts to maximize the overlap of cortical folds. In order to achieve this, relevant geometrical information is extracted from a surface-based morph and is diffused throughout the volume using the Navier operator of elasticity. The result is a volumetric warp that aligns the folding patterns.

摘要

在本文中，我们提出了一种用于大脑体积图像配准的新方法，该方法试图使皮质褶皱的重叠最大化。为了实现这一点，从基于表面的形态中提取相关几何信息，并使用弹性的纳维叶算子在整个体积中扩散。结果是一个使折叠模式对齐的体积变形。