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Mixture of competitive linear models for phased-array magnetic resonance imaging
Dept. of ECE, University of Florida, Gainesville, FL, USA .
Dept. of ECE, University of Florida, Gainesville, FL, USA .
Dept. of ECE, The George Washington University, Washington, DC, USA.ORCID iD: 0000-0002-7599-4367
Dept. of ECE, University of Florida, Gainesville, FL, USA .
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2004 (English)In: 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE , 2004, p. 585-588Conference paper, Published paper (Refereed)
Abstract [en]

Phased-array magnetic resonance imaging is an important contemporary research field in terms of the expected clinical gains in medical imaging technology. Recent research focused on heuristic coil image recombination methods as well as statistical signal processing approaches. In this paper, we investigate the performance of an adaptive signal processing approach, namely mixture of competitively trained models. The proposed method has the ability to train on a set of images and generalize its performance to previously unseen images. Performance evaluations on real data validate the effectiveness of this method.

Place, publisher, year, edition, pages
IEEE , 2004. p. 585-588
Series
IEEE International Conference on Acoustics, Speech, and Signal Processing, ISSN 1520-6149
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-149568DOI: 10.1109/ICASSP.2004.1327178ISI: 000222179700147ISBN: 0-7803-8484-9 (print)OAI: oai:DiVA.org:liu-149568DiVA, id: diva2:1231348
Conference
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 17-21 May 2004, Montreal, Que, Canada
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-07-06

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Larsson, Erik G.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf