Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm; Olof Enqvist; Fredrik Kahl; Magnus Oskarsson

doi:10.1109/ISBI.2015.7163998

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm, Olof Enqvist, Fredrik Kahl, Magnus Oskarsson

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.

Original language	English
Title of host publication	Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Editors	Sebastien Ourselin, Jens Rittscher
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	824-828
Number of pages	5
DOIs	https://doi.org/10.1109/ISBI.2015.7163998
Publication status	Published - 2015
Event	2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI) - New York, United States Duration: 2015 Apr 16 → 2015 Apr 19

Conference

Conference	2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)
Country/Territory	United States
City	New York
Period	2015/04/16 → 2015/04/19

Subject classification (UKÄ)

Pharmaceutical and Medical Biotechnology
Mathematical Sciences

Free keywords

Computer vision
image registration
medical image analysis
optimization

Access to Document

10.1109/ISBI.2015.7163998

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Svärm, L., Enqvist, O., Kahl, F., & Oskarsson, M. (2015). Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach. In S. Ourselin, & J. Rittscher (Eds.), Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on (pp. 824-828). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISBI.2015.7163998

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title = "Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach",

abstract = "We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.",

keywords = "Computer vision, image registration, medical image analysis, optimization",

author = "Linus Sv{\"a}rm and Olof Enqvist and Fredrik Kahl and Magnus Oskarsson",

year = "2015",

doi = "10.1109/ISBI.2015.7163998",

language = "English",

pages = "824--828",

editor = "Sebastien Ourselin and Jens Rittscher",

booktitle = "Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on",

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

address = "United States",

note = "2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI) ; Conference date: 16-04-2015 Through 19-04-2015",

}

Svärm, L, Enqvist, O, Kahl, F & Oskarsson, M 2015, Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach. in S Ourselin & J Rittscher (eds), Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on. IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 824-828, 2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI), New York, United States, 2015/04/16. https://doi.org/10.1109/ISBI.2015.7163998

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach. / Svärm, Linus; Enqvist, Olof; Kahl, Fredrik et al.
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on. ed. / Sebastien Ourselin; Jens Rittscher. IEEE - Institute of Electrical and Electronics Engineers Inc., 2015. p. 824-828.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

AU - Svärm, Linus

AU - Enqvist, Olof

AU - Kahl, Fredrik

AU - Oskarsson, Magnus

PY - 2015

Y1 - 2015

N2 - We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.

AB - We propose new feature-based methods for rigid and affine image registration. These are compared to state-of-the-art intensity-based techniques as well as existing feature-based methods. On challenging datasets of brain MR and whole-body CT images, a significant improvement in terms of speed, robustness to outlier structures and dependence on initialization is shown.

KW - Computer vision

KW - image registration

KW - medical image analysis

KW - optimization

U2 - 10.1109/ISBI.2015.7163998

DO - 10.1109/ISBI.2015.7163998

M3 - Paper in conference proceeding

SP - 824

EP - 828

BT - Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on

A2 - Ourselin, Sebastien

A2 - Rittscher, Jens

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)

Y2 - 16 April 2015 through 19 April 2015

ER -

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

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Cite this