Signal Processing Algorithms for Removing Banding Artifacts in MRI
2011 (English)In: Proceedings of the 19th European Signal Processing Conference (EUSIPCO-2011), 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 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.
, European Signals Processing Conference, ISSN 2076-1465
MRI, bSSFP, banding artifacts, modeling, estimation, off-resonance, CRB, signal processing
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-158248OAI: oai:DiVA.org:uu-158248DiVA: diva2:438786
19th European Signal Processing Conference, Barcelona, Spain, August 29 - September 2, 2011
FunderEU, European Research Council, 228044EU, European Research Council, 247035