Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning B1+ estimation. Issue 5 (23rd November 2020)
- Record Type:
- Journal Article
- Title:
- Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning B1+ estimation. Issue 5 (23rd November 2020)
- Main Title:
- Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning B1+ estimation
- Authors:
- Abbasi‐Rad, Shahrokh
O'Brien, Kieran
Kelly, Samuel
Vegh, Viktor
Rodell, Anders
Tesiram, Yasvir
Jin, Jin
Barth, Markus
Bollmann, Steffen - Abstract:
- Abstract : Purpose: The purpose of this study is to demonstrate a method for specific absorption rate (SAR) reduction for 2D T2 ‐FLAIR MRI sequences at 7 T by predicting the required adiabatic radiofrequency (RF) pulse power and scaling the RF amplitude in a slice‐wise fashion. Methods: We used a time‐resampled frequency‐offset corrected inversion (TR‐FOCI) adiabatic pulse for spin inversion in a T2 ‐FLAIR sequence to improve B 1 + homogeneity and calculated the pulse power required for adiabaticity slice‐by‐slice to minimize the SAR. Drawing on the implicit B 1 + inhomogeneity in a standard localizer scan, we acquired 3D AutoAlign localizers and SA2RAGE B 1 + maps in 28 volunteers. Then, we trained a convolutional neural network (CNN) to estimate the B 1 + profile from the localizers and calculated pulse scale factors for each slice. We assessed the predicted B 1 + profiles and the effect of scaled pulse amplitudes on the FLAIR inversion efficiency in oblique transverse, sagittal, and coronal orientations. Results: The predicted B 1 + amplitude maps matched the measured ones with a mean difference of 9.5% across all slices and participants. The slice‐by‐slice scaling of the TR‐FOCI inversion pulse was most effective in oblique transverse orientation and resulted in a 1 min and 30 s reduction in SAR induced delay time while delivering identical image quality. Conclusion: We propose a SAR reduction technique based on the estimation of B 1 + profiles from standard localizerAbstract : Purpose: The purpose of this study is to demonstrate a method for specific absorption rate (SAR) reduction for 2D T2 ‐FLAIR MRI sequences at 7 T by predicting the required adiabatic radiofrequency (RF) pulse power and scaling the RF amplitude in a slice‐wise fashion. Methods: We used a time‐resampled frequency‐offset corrected inversion (TR‐FOCI) adiabatic pulse for spin inversion in a T2 ‐FLAIR sequence to improve B 1 + homogeneity and calculated the pulse power required for adiabaticity slice‐by‐slice to minimize the SAR. Drawing on the implicit B 1 + inhomogeneity in a standard localizer scan, we acquired 3D AutoAlign localizers and SA2RAGE B 1 + maps in 28 volunteers. Then, we trained a convolutional neural network (CNN) to estimate the B 1 + profile from the localizers and calculated pulse scale factors for each slice. We assessed the predicted B 1 + profiles and the effect of scaled pulse amplitudes on the FLAIR inversion efficiency in oblique transverse, sagittal, and coronal orientations. Results: The predicted B 1 + amplitude maps matched the measured ones with a mean difference of 9.5% across all slices and participants. The slice‐by‐slice scaling of the TR‐FOCI inversion pulse was most effective in oblique transverse orientation and resulted in a 1 min and 30 s reduction in SAR induced delay time while delivering identical image quality. Conclusion: We propose a SAR reduction technique based on the estimation of B 1 + profiles from standard localizer scans using a CNN and show that scaling the inversion pulse power slice‐by‐slice for FLAIR sequences at 7T reduces SAR and scan time without compromising image quality. Abstract : Click here for author‐reader discussions … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 85:Issue 5(2021)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 85:Issue 5(2021)
- Issue Display:
- Volume 85, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 85
- Issue:
- 5
- Issue Sort Value:
- 2021-0085-0005-0000
- Page Start:
- 2462
- Page End:
- 2476
- Publication Date:
- 2020-11-23
- Subjects:
- B1+ profile -- convolutional neural network (CNN) -- FLAIR -- SA2RAGE -- specific absorption rate (SAR) -- TR‐FOCI
Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.28590 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
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British Library HMNTS - ELD Digital store - Ingest File:
- 24540.xml