The TVDMFFDVR Algorithm

N. Tustison, B. Avants
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引用次数: 2

Abstract

The recent ITKv4 refactoring includes several enhancements to the existing registration framework. These additional transform classes provide access to mappings described by dense displacement fields and their corresponding optimization which complement the popular free-form deformation (FFD) ap- proach already in ITK. Innovation motivated by previous work [5] and recent diffeomorphic image regis- tration developments in which the characteristic velocity field is represented by spatiotemporal B-splines [2], resulted in a diffeomorphic B-spline-based image registration algorithm combining and extending these techniques which we make available in ITK through the gerrit system. Additionally, we include two command line tools showcasing the new elements of the registration refactoring for 1) computing mappings between two images (antsRegistration) including the family of transforms discussed in this article and 2) applying those transformations to images (antsApplyTransforms). NB: The user must download the patch available at http://review.source.kitware.com/#/c/3606/ in or- der to compile the code accompanying this article.
TVDMFFDVR算法
最近的ITKv4重构包括对现有注册框架的几个增强。这些额外的转换类提供了访问由密集位移场描述的映射及其相应的优化,这补充了ITK中已经存在的流行的自由形式变形(FFD)方法。在前人的工作[5]和最近的差分图像配准发展的推动下,特征速度场由时空b样条[2]表示,产生了基于差分b样条的图像配准算法,结合并扩展了这些技术,我们通过gerrit系统在ITK中提供了这些技术。此外,我们还提供了两个命令行工具,展示了注册重构的新元素:1)计算两个图像之间的映射(antsRegistration),包括本文讨论的一系列转换;2)将这些转换应用于图像(antsApplyTransforms)。注意:用户必须在http://review.source.kitware.com/#/c/3606/下载补丁,以便编译本文附带的代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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