Signal processing algorithms for removing banding artifacts in MRI
2011 (English)In: 19th European Signal Processing Conference (EUSIPCO), 2011, 1000-1004 p.Conference paper (Refereed)
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
IdentifiersURN: urn:nbn:se:kth:diva-47566ScopusID: 2-s2.0-84863740966OAI: oai:DiVA.org:kth-47566DiVA: diva2:455659
19th European Signal Processing Conference, EUSIPCO 2011; Barcelona, Spain, 29 August 2011-2 September, 2011
QC 201111142011-11-102011-11-102014-08-29Bibliographically approved