Parameter estimation approach to banding artifact reduction in balanced steady-state free precession
(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:
https://lup.lub.lu.se/record/4194953
- author
- Björk, Marcus ; Ingle, R. Reeve ; Gudmundson, Erik LU ; Stoica, Petre ; Nishimura, Dwight G. and Barral, Joelle K.
- organization
- publishing date
- 2014
- 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
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000340552700033
- scopus:85027937296
- 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
- 2016-04-01 10:56:51
- date last changed
- 2022-01-26 03:57:15
@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}},
keywords = {{off-resonance; bSSFP; Parameter estimation; banding artifacts; LORE}},
language = {{eng}},
number = {{3}},
pages = {{880--892}},
publisher = {{John Wiley & Sons Inc.}},
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}},
doi = {{10.1002/mrm.24986}},
volume = {{72}},
year = {{2014}},
}