Viergever M A, Maintz J B, Stokking R
Image Sciences Institute, Utrecht University, Netherlands.
Biophys Chem. 1997 Oct;68(1-3):207-19. doi: 10.1016/s0301-4622(97)00047-1.
This article concerns the integration of functional and anatomical volumetric brain images. Integration consists of two steps: matching or registration, where the images are brought into spatial agreement, and fusion or simultaneous display where the registered multimodal image information is presented in an integrated fashion. Approaches to register multiple images are divided into extrinsic methods based on artificial markers, and intrinsic matching methods based solely on the patient related image data. The various methods are compared by a number of characteristics, which leads to a clear preference for one class of intrinsic methods, viz. voxel-based matching. Furthermore, two- and three-dimensional techniques to display multimodality image information are outlined.
本文关注功能性和解剖学脑容积图像的整合。整合包括两个步骤:匹配或配准,即将图像在空间上对齐;融合或同步显示,即以整合的方式呈现配准后的多模态图像信息。配准多幅图像的方法分为基于人工标记的外部方法和仅基于与患者相关的图像数据的内部匹配方法。通过一些特征对各种方法进行比较,结果明显倾向于一类内部方法,即基于体素的匹配。此外,还概述了显示多模态图像信息的二维和三维技术。