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A robust and extendible framework for medical image registration focused on rapid clinical application deployment.

机译:一个强大且可扩展的医学图像配准框架,专注于快速临床应用程序部署。

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摘要

Development and integration of image registration methods become increasingly important for clinical workstations. Due to the complexity of such methods, prototyping, evaluation and workflow integration require in-depth knowledge foremostly available to registration developers. Rapid development and deployment is therefore often difficult, particularly for comprehensive software frameworks. In this article, we introduce a novel rapid prototyping framework for voxel-based registration. It is specifically designed to allow evaluation and adaption by developers with less knowledge on registration internals. Based on a unique one-iteration Furthermore, methods are interchangeable at runtime using an intuitive graphical plugin interface, allowing a genuine comparison of methods. We discuss the concepts of this framework, compare it to other software and demonstrate its effectiveness for several demanding registration applications, highlighting its versatility and reliability.
机译:图像配准方法的开发和集成对于临床工作站变得越来越重要。由于此类方法的复杂性,原型,评估和工作流程集成需要深入的知识,而这些知识主要是注册开发人员可以使用的。因此,快速开发和部署通常很困难,尤其是对于全面的软件框架而言。在本文中,我们介绍了一种新的基于体素的注册快速原型框架。它是专门为允许开发人员对注册内部知识较少而进行的评估和改编而设计的。基于唯一的单项迭代此外,方法在运行时可以使用直观的图形插件界面互换,从而可以对方法进行真正的比较。我们讨论了此框架的概念,将其与其他软件进行比较,并展示了其在一些苛刻的注册应用程序中的有效性,突出了其多功能性和可靠性。

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