Sra Jasbir, Ratnakumar Shivani
Electrophysiology Laboratories, Aurora Sinai/Aurora St. Luke's Medical Centers, University of Wisconsin School of Medicine and Public Health-Milwaukee Clinical Campus, Milwaukee, Wisconsin, USA.
Heart Rhythm. 2008 Apr;5(4):609-17. doi: 10.1016/j.hrthm.2007.11.020. Epub 2007 Dec 4.
Cardiac image registration, in the context of the left atrium, is intermodal, with the acquired image and the real-time reference image residing in different image spaces, and involves optimization, where one image space is transformed into the other. Geometry-based methods, which include using fiducial points and/or surface-based techniques, are usually used for cardiac image registration. During fiducial point registration, fiducial points are either external skin markers or manually determined by marking anatomical landmarks using mapping catheters. Usually, a minimum of three noncollinear points is needed for optimal registration. During surface registration, each of the images' surfaces are characterized to determine the best transformation between them. Unlike the rigid body registration used extensively in the study of the brain, cardiac image registration is unique and challenging. In addition to the errors inherent in intermodal registration, errors due to respiration and cardiac motion during the cardiac cycle are specific to cardiac image registration. This review addresses the basic principles of registration and the inherent registration errors as they relate to cardiac imaging and registration.
在左心房的背景下,心脏图像配准是多模态的,采集到的图像和实时参考图像位于不同的图像空间中,并且涉及优化过程,即将一个图像空间转换为另一个图像空间。基于几何的方法,包括使用基准点和/或基于表面的技术,通常用于心脏图像配准。在基准点配准过程中,基准点要么是外部皮肤标记,要么是通过使用标测导管标记解剖标志手动确定的。通常,至少需要三个非共线点才能实现最佳配准。在表面配准过程中,对每个图像的表面进行特征描述,以确定它们之间的最佳变换。与在脑研究中广泛使用的刚体配准不同,心脏图像配准具有独特性且具有挑战性。除了多模态配准中固有的误差外,心动周期中由于呼吸和心脏运动引起的误差是心脏图像配准所特有的。本综述阐述了与心脏成像和配准相关的配准基本原理以及固有的配准误差。