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

Gary E Christensen; Xiujuan Geng; Jon G Kuhl; Joel Bruss; Thomas J Grabowski; Imran A Pirwani; Michael W Vannier; John S Allen; Hanna Damasio

doi:10.1007/11784012_16

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

Book chapter

Peer reviewed

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

Gary E Christensen, Xiujuan Geng, Jon G Kuhl, Joel Bruss, Thomas J Grabowski, Imran A Pirwani, Michael W Vannier, John S Allen and Hanna Damasio

Biomedical Image Registration, pp.128-135

Lecture Notes in Computer Science, Springer Berlin Heidelberg

2006

DOI: 10.1007/11784012_16

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Abstract

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.

Superior Frontal Gyrus

Registration Algorithm

Evaluation Database

Relative Overlap

Image Registration

Details

Title: Subtitle: Introduction to the Non-rigid Image Registration Evaluation Project (NIREP)
Creators: Gary E Christensen - Department of Electrical and Computer Engineering, The University of Iowa,
Xiujuan Geng - Department of Electrical and Computer Engineering, The University of Iowa,
Jon G Kuhl - Department of Electrical and Computer Engineering, The University of Iowa,
Joel Bruss - Department of Neurology, The University of Iowa,
Thomas J Grabowski - Department of Radiology, The University of Iowa,
Imran A Pirwani - Department of Computer Science, The University of Iowa,
Michael W Vannier - Department of Radiology, University of Chicago,
John S Allen - Department of Anthropology, Univ. of Southern California,
Hanna Damasio - The Dornsife Cognitive Neuroscience Imaging Center, Univ. of Southern California,
Resource Type: Book chapter
Publication Details: Biomedical Image Registration, pp.128-135
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Series: Lecture Notes in Computer Science
DOI: 10.1007/11784012_16
eISSN: 1611-3349
ISSN: 0302-9743
Language: English
Date published: 2006
Academic Unit: Electrical and Computer Engineering; Radiation Research Laboratory; Neurology; Radiation Oncology; Public Policy Center (Archive)
Record Identifier: 9984047710602771

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