Multifrequency reconstruction for frequency-modulated bSSFP: Multifrequency Reconstruction for Frequency-Modulated bSSFP. Slawig, A., Wech, T., Ratz, V., Tran-Gia, J., Neubauer, H., Bley, T., & Köstler, H. Magnetic Resonance in Medicine, 78(6):2226–2235, December, 2017.
Multifrequency reconstruction for frequency-modulated bSSFP: Multifrequency Reconstruction for Frequency-Modulated bSSFP [link]Paper  doi  abstract   bibtex   
Purpose: Banding artifacts in images acquired by balanced steady-state free precession (bSSFP) remain a challenge in MRI as they considerably reduce image quality, and diagnostic value deteriorates accordingly. As the steady-state tolerates small shifts in frequency, it is possible to acquire frequencymodulated bSSFP. Unfortunately, standard reconstructions of such measurements suffer from signal loss. Our study proposes a multifrequency reconstruction and demonstrates its capability of suppressing banding artifacts while retaining the high signal level of standard bSSFP. Methods: Numerical simulations in vitro and in vivo measurements were performed using both standard bSSFP and frequency-modulated bSSFP. The modulated data were reconstructed using a multifrequency approach consisting of three steps: phase correction, multiple reconstructions for different assumed frequencies, and maximum intensity projection. Results: Although standard bSSFP measurements showed banding artifacts that compromised the image quality, standard reconstructions of frequency-modulated acquisitions suffered from signal loss. In contrast, images reconstructed from frequency-modulated data using the proposed multifrequency reconstruction showed no visual bandings and featured a higher signal-to-noise ratio (SNR). The SNR gain for phantom and in vivo measurements ranged from 1.23 to 1.49. Conclusions: The presented multifrequency reconstruction for frequency-modulated bSSFP provides images showing no bandings and featuring high SNR in short scan times. Magn Reson Med 000:000–000, 2017. VC 2017 International Society for Magnetic Resonance in Medicine.
@article{slawig_multifrequency_2017,
	title = {Multifrequency reconstruction for frequency-modulated {bSSFP}: {Multifrequency} {Reconstruction} for {Frequency}-{Modulated} {bSSFP}},
	volume = {78},
	issn = {07403194},
	shorttitle = {Multifrequency reconstruction for frequency-modulated {bSSFP}},
	url = {http://doi.wiley.com/10.1002/mrm.26630},
	doi = {10.1002/mrm.26630},
	abstract = {Purpose: Banding artifacts in images acquired by balanced steady-state free precession (bSSFP) remain a challenge in MRI as they considerably reduce image quality, and diagnostic value deteriorates accordingly. As the steady-state tolerates small shifts in frequency, it is possible to acquire frequencymodulated bSSFP. Unfortunately, standard reconstructions of such measurements suffer from signal loss. Our study proposes a multifrequency reconstruction and demonstrates its capability of suppressing banding artifacts while retaining the high signal level of standard bSSFP.
Methods: Numerical simulations in vitro and in vivo measurements were performed using both standard bSSFP and frequency-modulated bSSFP. The modulated data were reconstructed using a multifrequency approach consisting of three steps: phase correction, multiple reconstructions for different assumed frequencies, and maximum intensity projection.
Results: Although standard bSSFP measurements showed banding artifacts that compromised the image quality, standard reconstructions of frequency-modulated acquisitions suffered from signal loss. In contrast, images reconstructed from frequency-modulated data using the proposed multifrequency reconstruction showed no visual bandings and featured a higher signal-to-noise ratio (SNR). The SNR gain for phantom and in vivo measurements ranged from 1.23 to 1.49.
Conclusions: The presented multifrequency reconstruction for frequency-modulated bSSFP provides images showing no bandings and featuring high SNR in short scan times. Magn Reson Med 000:000–000, 2017. VC 2017 International Society for Magnetic Resonance in Medicine.},
	language = {en},
	number = {6},
	urldate = {2021-02-12},
	journal = {Magnetic Resonance in Medicine},
	author = {Slawig, Anne and Wech, Tobias and Ratz, Valentin and Tran-Gia, Johannes and Neubauer, Henning and Bley, Thorsten and Köstler, Herbert},
	month = dec,
	year = {2017},
	pages = {2226--2235},
}

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