The truth is hard to make: Validation of medical image registration

Josien P.W. Pluim; Sascha E.A. Muenzing; Koen A.J. Eppenhof; Keelin Murphy

doi:10.1109/ICPR.2016.7899978

The truth is hard to make: Validation of medical image registration

Josien P.W. Pluim, Sascha E.A. Muenzing, Koen A.J. Eppenhof, Keelin Murphy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

An unsolved problem in medical image analysis is validation of methods. In this paper we will focus on image registration and in particular on nonlinear image registration, which is one of the hardest analysis problems to validate. The paper covers currently used methods of validation, comparative challenges and public datasets, as well as some of our own work in this area.

Original language	English
Title of host publication	2016 23rd International Conference on Pattern Recognition, ICPR 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2294-2300
Number of pages	7
ISBN (Electronic)	9781509048472
DOIs	https://doi.org/10.1109/ICPR.2016.7899978
Publication status	Published - 13 Apr 2017
Event	23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico Duration: 4 Dec 2016 → 8 Dec 2016

Conference

Conference	23rd International Conference on Pattern Recognition, ICPR 2016
Country/Territory	Mexico
City	Cancun
Period	4/12/16 → 8/12/16

Keywords

Evaluation
Image registration
Validation

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10.1109/ICPR.2016.7899978

Cite this

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title = "The truth is hard to make: Validation of medical image registration",

abstract = "An unsolved problem in medical image analysis is validation of methods. In this paper we will focus on image registration and in particular on nonlinear image registration, which is one of the hardest analysis problems to validate. The paper covers currently used methods of validation, comparative challenges and public datasets, as well as some of our own work in this area.",

keywords = "Evaluation, Image registration, Validation",

author = "Pluim, {Josien P.W.} and Muenzing, {Sascha E.A.} and Eppenhof, {Koen A.J.} and Keelin Murphy",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 23rd International Conference on Pattern Recognition, ICPR 2016 ; Conference date: 04-12-2016 Through 08-12-2016",

year = "2017",

month = apr,

day = "13",

doi = "10.1109/ICPR.2016.7899978",

language = "English",

pages = "2294--2300",

booktitle = "2016 23rd International Conference on Pattern Recognition, ICPR 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Pluim, JPW, Muenzing, SEA, Eppenhof, KAJ & Murphy, K 2017, The truth is hard to make: Validation of medical image registration. in 2016 23rd International Conference on Pattern Recognition, ICPR 2016., 7899978, Institute of Electrical and Electronics Engineers Inc., pp. 2294-2300, 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4/12/16. https://doi.org/10.1109/ICPR.2016.7899978

The truth is hard to make: Validation of medical image registration. / Pluim, Josien P.W.; Muenzing, Sascha E.A.; Eppenhof, Koen A.J. et al.
2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2294-2300 7899978.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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The truth is hard to make: Validation of medical image registration

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Keywords

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