Introduction to the non-rigid image registration evaluation project (NIREP)

被引:0
|
作者
Christensen, Gary E. [1 ]
Geng, Xiujuan
Kuhl, Jon G.
Bruss, Joel
Grabowski, Thomas J.
Pirwani, Imran A.
Vannier, Michael W.
Allen, John S.
Damasio, Hanna
机构
[1] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
[2] Univ Iowa, Dept Neurol, Iowa City, IA 52242 USA
[3] Univ Iowa, Dept Radiol, Iowa City, IA 52242 USA
[4] Univ Iowa, Dept Comp Sci, Iowa City, IA 52242 USA
[5] Univ Chicago, Dept Radiol, Chicago, IL 60637 USA
[6] Univ So Calif, Dornsife Cognit Neurosci Imaging Ctr, Los Angeles, CA 90089 USA
[7] Univ So Calif, Dept Anthropol, Los Angeles, CA 90089 USA
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暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
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 "Cold 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.
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页码:128 / 135
页数:8
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