A robust and extendible framework for medical image registration focused on rapid clinical application deployment
A robust and extendible framework for medical image registration focused on rapid clinical application deployment
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DOI：
10.1016/j.compbiomed.2011.03.011
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发表时间：
2011-06-01
影响因子：
7.7
通讯作者：
Peitgen, Heinz-Otto
中科院分区：
文献类型：
--
作者：
Boehler, Tobias;van Straaten, Doerte;Peitgen, Heinz-Otto
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。由于这些方法的复杂性，原型设计、评估和工作流程集成需要注册开发人员最先掌握的深入知识。因此，快速开发和部署通常很困难，特别是对于综合软件框架。在这篇文章中，我们介绍了一种新的快速原型框架为基础的体素注册。它专门设计用于允许对注册内部知识较少的开发人员进行评估和调整。基于独特的“一次迭代”范式，它可以加速算法开发。此外，使用直观的图形插件界面，方法在运行时是可互换的，允许方法之间的真正比较。我们讨论了这个框架的概念，比较它与其他软件，并证明了它的有效性，几个要求苛刻的注册应用程序，突出其多功能性和可靠性。(C)2011爱思唯尔有限公司版权所有。
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" paradigm, it enables accelerated algorithm development. 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. (C) 2011 Elsevier Ltd. All rights reserved.