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B 1 inhomogeneity correction of RARE MRI at low SNR: Quantitative in vivo 19 F MRI of mouse neuroinflammation with a cryogenically-cooled transceive surface radiofrequency probe.
- Source :
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Magnetic resonance in medicine [Magn Reson Med] 2022 Apr; Vol. 87 (4), pp. 1952-1970. Date of Electronic Publication: 2021 Nov 23. - Publication Year :
- 2022
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Abstract
- Purpose: Low SNR in fluorine-19 ( <superscript>19</superscript> F) MRI benefits from cryogenically-cooled transceive surface RF probes (CRPs), but strong B <subscript>1</subscript> inhomogeneities hinder quantification. Rapid acquisition with refocused echoes (RARE) is an SNR-efficient method for MRI of neuroinflammation with perfluorinated compounds but lacks an analytical signal intensity equation to retrospectively correct B <subscript>1</subscript> inhomogeneity. Here, a workflow was proposed and validated to correct and quantify <superscript>19</superscript> F-MR signals from the inflamed mouse brain using a <superscript>19</superscript> F-CRP.<br />Methods: In vivo <superscript>19</superscript> F-MR images were acquired in a neuroinflammation mouse model with a quadrature <superscript>19</superscript> F-CRP using an imaging setup including 3D-printed components to acquire co-localized anatomical and <superscript>19</superscript> F images. Model-based corrections were validated on a uniform <superscript>19</superscript> F phantom and in the neuroinflammatory model. Corrected <superscript>19</superscript> F-MR images were benchmarked against reference images and overlaid on in vivo <superscript>1</superscript> H-MR images. Computed concentration uncertainty maps using Monte Carlo simulations served as a measure of performance of the B <subscript>1</subscript> corrections.<br />Results: Our study reports on the first quantitative in vivo <superscript>19</superscript> F-MR images of an inflamed mouse brain using a <superscript>19</superscript> F-CRP, including in vivo T <subscript>1</subscript> calculations for <superscript>19</superscript> F-nanoparticles during pathology and B <subscript>1</subscript> corrections for <superscript>19</superscript> F-signal quantification. Model-based corrections markedly improved <superscript>19</superscript> F-signal quantification from errors > 50% to < 10% in a uniform phantom (p < 0.001). Concentration uncertainty maps ex vivo and in vivo yielded uncertainties that were generally < 25%. Monte Carlo simulations prescribed SNR ≥ 10.1 to reduce uncertainties < 10%, and SNR ≥ 4.25 to achieve uncertainties < 25%.<br />Conclusion: Our model-based correction method facilitated <superscript>19</superscript> F signal quantification in the inflamed mouse brain when using the SNR-boosting <superscript>19</superscript> F-CRP technology, paving the way for future low-SNR <superscript>19</superscript> F-MRI applications in vivo.<br /> (© 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 87
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 34812528
- Full Text :
- https://doi.org/10.1002/mrm.29094