University Medical Center Utrecht, Image Sciences Institute, 3508 GA Utrecht, The Netherlands.
IEEE Trans Med Imaging. 2010 Jan;29(1):196-205. doi: 10.1109/TMI.2009.2035616. Epub 2009 Nov 17.
Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic resonance and computed tomography), different time points (e.g., follow-up scans), and/or different subjects (in case of population studies). A large number of methods for image registration are described in the literature. Unfortunately, there is not one method that works for all applications. We have therefore developed elastix, a publicly available computer program for intensity-based medical image registration. The software consists of a collection of algorithms that are commonly used to solve medical image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. The command-line interface enables automated processing of large numbers of data sets, by means of scripting. The usage of elastix for comparing different registration methods is illustrated with three example experiments, in which individual components of the registration method are varied.
医学图像配准是医学图像处理中的一项重要任务。它是指对齐数据集的过程，这些数据集可能来自不同的模态（例如磁共振和计算机断层扫描）、不同的时间点（例如随访扫描）和/或不同的对象（在人群研究的情况下）。文献中描述了大量的图像配准方法。不幸的是，没有一种方法适用于所有应用。因此，我们开发了 elastix，这是一个可用于基于强度的医学图像配准的公开可用的计算机程序。该软件包含一组常用于解决医学图像配准问题的算法。elastix 的模块化设计允许用户快速配置、测试和比较特定应用程序的不同注册方法。命令行界面通过脚本实现了大量数据集的自动化处理。使用 elastix 比较不同的配准方法的三个示例实验说明了配准方法的各个组件是如何变化的。
