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Signal Processing A...
Signal Processing Algorithms for Removing Banding Artifacts in MRI
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- Björk, Marcus, 1985- (author)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik,Biomedical systems,Dept. of IT, Uppsala University
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- Gudmundson, Erik (author)
- Lund University,Lunds universitet,KTH,Signalbehandling,ACCESS Linnaeus Centre,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH,Centre for Mathematical Sciences, Lund University
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- Barral, Joëlle (author)
- Department of Bioengineering, Stanford University
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- Stoica, Peter (author)
- Uppsala universitet,Avdelningen för systemteknik,Reglerteknik,Biomedical systems,Dept. of IT, Uppsala University
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(creator_code:org_t)
- 2011
- 2011
- English.
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In: Proceedings of the 19th European Signal Processing Conference (EUSIPCO-2011). ; , s. 1000-1004, s. 1000-1004
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- MRI
- bSSFP
- banding artifacts
- modeling
- estimation
- off-resonance
- CRB
- signal processing
- TECHNOLOGY
- TEKNIKVETENSKAP
Publication and Content Type
- ref (subject category)
- kon (subject category)
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