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 proceedingKonferenspaper i proceedingPeer 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.
Originalspråkengelska
Titel på värdpublikationBiomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
RedaktörerSebastien Ourselin, Jens Rittscher
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor824-828
Antal sidor5
DOI
StatusPublished - 2015
Evenemang2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI) - New York, USA
Varaktighet: 2015 apr. 162015 apr. 19

Konferens

Konferens2015 IEEE 12thInternational Symposium on Biomedical Imaging (ISBI)
Land/TerritoriumUSA
OrtNew York
Period2015/04/162015/04/19

Ämnesklassifikation (UKÄ)

  • Medicinsk bioteknik
  • Matematik

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