Change search
ReferencesLink to record
Permanent link

Direct link
Signal processing algorithms for removing banding artifacts in MRI
Dept. of IT, Uppsala University.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Stanford University.
Dept. of IT, Uppsala University.
2011 (English)In: 19th European Signal Processing Conference (EUSIPCO), 2011, 1000-1004 p.Conference 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 al- gorithm 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.
, European Signal Processing Conference, 22195491
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-47566ScopusID: 2-s2.0-84863740966OAI: diva2:455659
19th European Signal Processing Conference, EUSIPCO 2011; Barcelona, Spain, 29 August 2011-2 September, 2011

QC 20111114

Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2014-08-29Bibliographically approved

Open Access in DiVA

No full text


Search in DiVA

By author/editor
Gudmundson, Erik
By organisation
Signal ProcessingACCESS Linnaeus Centre
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 32 hits
ReferencesLink to record
Permanent link

Direct link