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Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)

机译:非刚性图像配准评估项目(NIREP)简介

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摘要

Non-rigid image registration (NIR) is an essential tool for morphologic comparisons in the presence of intra- and inter-individual anatomic variations. Many NIR methods have been developed, but are especially difficult to evaluate since point-wise inter-image correspondence is usually unknown, i.e., there is no "Gold Standard" to evaluate performance. The Non-rigid Image Registration Evaluation Project (NIREP) has been started to develop, establish, maintain, and endorse a standardized set of relevant benchmarks and metrics for performance evaluation of nonrigid image registration algorithms. This paper describes the basic framework of the project.
机译:非刚性图像配准(NIR)是在存在个体内和个体间解剖变异的情况下进行形态比较的必要工具。已经开发了许多NIR方法,但是特别难以评估,因为逐点图像间的对应关系通常是未知的,即,没有“黄金标准”来评估性能。非刚性图像配准评估项目(NIREP)已开始开发,建立,维护和认可一套标准化的相关基准和度量标准,用于非刚性图像配准算法的性能评估。本文介绍了该项目的基本框架。

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