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Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. Sectra Imtec, Linkoping, Sweden.ORCID iD: 0000-0003-0908-9470
Harvard Medical School, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
Harvard Medical School, Boston, MA, USA.
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2011 (English)In: Multimodal Brain Image Analysis: First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, Springer Berlin/Heidelberg, 2011, Vol. 7012/2011, 19-26 p.Conference paper, Published paper (Refereed)
Abstract [en]

The number of available imaging modalities increases both in clinical practice and in clinical studies. Even though data from multiple modalities might be available, image registration is typically only performed using data from a single modality. In this paper, we propose using certainty maps together with multi-channel diffeomorphic demons in order to improve both accuracy and robustness when performing image registration. The proposed method is evaluated using DTI data, multiple region overlap measures and a fiber bundle similarity metric.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2011. Vol. 7012/2011, 19-26 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 7012
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-71677DOI: 10.1007/978-3-642-24446-9_3ISI: 000306341700003ISBN: 978-3-642-24445-2 (print)OAI: oai:DiVA.org:liu-71677DiVA: diva2:452670
Conference
First International Workshop, MBIA 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011
Funder
Swedish Research Council, 2007-4786
Available from: 2012-06-27 Created: 2011-10-31 Last updated: 2015-08-19Bibliographically approved

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Publisher's full texthttp://libris.kb.se/bib/12509528

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Forsberg, DanielKnutsson, HansWestin, Carl-Fredrik

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Forsberg, DanielKnutsson, HansWestin, Carl-Fredrik
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Center for Medical Image Science and Visualization (CMIV)Medical InformaticsThe Institute of Technology
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