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Parameter estimation approach to banding artifact reduction in balanced steady-state free precession

Björk, Marcus; Ingle, R. Reeve; Gudmundson, Erik LU ; Stoica, Petre; Nishimura, Dwight G. and Barral, Joelle K. (2014) In Magnetic Resonance in Medicine 72(3). p.880-892
Abstract
Purpose: The balanced steady-state free precession (bSSFP) pulse sequence has shown to be of great interest due to its high signal-to-noise ratio efficiency. However, bSSFP images often suffer from banding artifacts due to off-resonance effects, which we aim to minimize in this paper.

Methods: We present a general and fast two-step algorithm for 1) estimating the unknowns in the bSSFP signal model from multiple phase-cycled acquisitions, and 2) reconstructing band-free images. The first step, Linearization for Off-Resonance Estimation (LORE), solves the nonlinear problem approximately by a robust linear approach. The second step applies a Gauss-Newton algorithm, initialized by LORE, to minimize the nonlinear least squares... (More)
Purpose: The balanced steady-state free precession (bSSFP) pulse sequence has shown to be of great interest due to its high signal-to-noise ratio efficiency. However, bSSFP images often suffer from banding artifacts due to off-resonance effects, which we aim to minimize in this paper.

Methods: We present a general and fast two-step algorithm for 1) estimating the unknowns in the bSSFP signal model from multiple phase-cycled acquisitions, and 2) reconstructing band-free images. The first step, Linearization for Off-Resonance Estimation (LORE), solves the nonlinear problem approximately by a robust linear approach. The second step applies a Gauss-Newton algorithm, initialized by LORE, to minimize the nonlinear least squares criterion. We name the full algorithm LORE-GN.

Results: We derive the Cramér-Rao bound (CRB), a theoretical lower bound of the variance for any unbiased estimator, and show that LORE-GN is statistically efficient. Furthermore, we show that simultaneous estimation of T1 and T2 from phase-cycled bSSFP is difficult, since the CRB is high at common SNR. Using simulated, phantom, and in vivo data, we illustrate the band-reduction capabilities of LORE-GN compared to other techniques, such as sum-of-squares.

Conclusion: Using LORE-GN we can successfully minimize banding artifacts in bSSFP. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
off-resonance, bSSFP, Parameter estimation, banding artifacts, LORE
in
Magnetic Resonance in Medicine
volume
72
issue
3
pages
880 - 892
publisher
Wiley Online Library
external identifiers
  • wos:000340552700033
  • scopus:84886113790
ISSN
1522-2594
DOI
10.1002/mrm.24986
language
English
LU publication?
yes
id
fd20df55-fdfc-456b-95af-f919530724bb (old id 4194953)
date added to LUP
2014-01-31 19:42:48
date last changed
2017-01-01 04:02:07
@article{fd20df55-fdfc-456b-95af-f919530724bb,
  abstract     = {Purpose: The balanced steady-state free precession (bSSFP) pulse sequence has shown to be of great interest due to its high signal-to-noise ratio efficiency. However, bSSFP images often suffer from banding artifacts due to off-resonance effects, which we aim to minimize in this paper.<br/><br>
Methods: We present a general and fast two-step algorithm for 1) estimating the unknowns in the bSSFP signal model from multiple phase-cycled acquisitions, and 2) reconstructing band-free images. The first step, Linearization for Off-Resonance Estimation (LORE), solves the nonlinear problem approximately by a robust linear approach. The second step applies a Gauss-Newton algorithm, initialized by LORE, to minimize the nonlinear least squares criterion. We name the full algorithm LORE-GN.<br/><br>
Results: We derive the Cramér-Rao bound (CRB), a theoretical lower bound of the variance for any unbiased estimator, and show that LORE-GN is statistically efficient. Furthermore, we show that simultaneous estimation of T1 and T2 from phase-cycled bSSFP is difficult, since the CRB is high at common SNR. Using simulated, phantom, and in vivo data, we illustrate the band-reduction capabilities of LORE-GN compared to other techniques, such as sum-of-squares.<br/><br>
Conclusion: Using LORE-GN we can successfully minimize banding artifacts in bSSFP.},
  author       = {Björk, Marcus and Ingle, R. Reeve and Gudmundson, Erik and Stoica, Petre and Nishimura, Dwight G. and Barral, Joelle K.},
  issn         = {1522-2594},
  keyword      = {off-resonance,bSSFP,Parameter estimation,banding artifacts,LORE},
  language     = {eng},
  number       = {3},
  pages        = {880--892},
  publisher    = {Wiley Online Library},
  series       = {Magnetic Resonance in Medicine},
  title        = {Parameter estimation approach to banding artifact reduction in balanced steady-state free precession},
  url          = {http://dx.doi.org/10.1002/mrm.24986},
  volume       = {72},
  year         = {2014},
}