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

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Redaktörer	Sebastien Ourselin, Jens Rittscher
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	824-828
Antal sidor	5
DOI	https://doi.org/10.1109/ISBI.2015.7163998
Status	Published - 2015
Evenemang	2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI) - New York, USA Varaktighet: 2015 apr. 16 → 2015 apr. 19

Konferens

Konferens	2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)
Land/Territorium	USA
Ort	New York
Period	2015/04/16 → 2015/04/19

Ämnesklassifikation (UKÄ)

Läkemedel- och medicinsk processbioteknik
Matematik

Tillgång till dokument

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. I S. Ourselin, & J. Rittscher (Red.), Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on (s. 824-828). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISBI.2015.7163998

@inproceedings{ea7c6a4d108442d9bfa2de648162e08c,

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. i S Ourselin & J Rittscher (red), Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on. IEEE - Institute of Electrical and Electronics Engineers Inc., s. 824-828, 2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI), New York, USA, 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. red. / Sebastien Ourselin; Jens Rittscher. IEEE - Institute of Electrical and Electronics Engineers Inc., 2015. s. 824-828.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i 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

Sammanfattning

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Ämnesklassifikation (UKÄ)

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