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Signal Processing Algorithms for Removing Banding Artifacts in MRI
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Biomedical systems)
Centre for Mathematical Sciences, Lund University.
Department of Bioengineering, Stanford University.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. (Biomedical systems)
2011 (English)In: Proceedings of the 19th European Signal Processing Conference (EUSIPCO-2011), 2011, 1000-1004 p.Conference paper, Published paper (Refereed)
Abstract [en]

In magnetic resonance imaging (MRI), the balanced steady-state free precession (bSSFP) pulse sequence has shown to be of great interest, due to its relatively high signal-to-noise ratio in a short scan time. However, images acquired with this pulse sequence suffer from banding artifacts due to off-resonance effects. These artifacts typically appear as black bands covering parts of the image and they severely degrade the image quality. In this paper, we present a fast two-step algorithm for estimating the unknowns in the signal model and removing the banding artifacts. The first step consists of rewriting the model in such a way that it becomes linear in the unknowns (this step is named Linearization for Off-Resonance Estimation, or LORE). In the second step, we use a Gauss-Newton iterative optimization with the parameters obtained by LORE as initial guesses. We name the full algorithm LORE-GN. Using both simulated and in vivo data, we show the performance gain associated with using LORE-GN as compared to general methods commonly employed in similar cases.

Place, publisher, year, edition, pages
2011. 1000-1004 p.
Series
European Signals Processing Conference, ISSN 2076-1465
Keyword [en]
MRI, bSSFP, banding artifacts, modeling, estimation, off-resonance, CRB, signal processing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-158248OAI: oai:DiVA.org:uu-158248DiVA: diva2:438786
Conference
19th European Signal Processing Conference, Barcelona, Spain, August 29 - September 2, 2011
Funder
EU, European Research Council, 228044EU, European Research Council, 247035
Available from: 2011-09-05 Created: 2011-09-05 Last updated: 2011-09-05Bibliographically approved

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