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| Item Type: | Article |
|---|---|
| Title: | 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 |
| Creators Name: | Delgado, P.R. and Kuehne, A. and Aravina, M. and Millward, J.M. and Vazquez, A. and Starke, L. and Waiczies, H. and Pohlmann, A. and Niendorf, T. and Waiczies, S. |
| Abstract: | PURPOSE: Low SNR in fluorine-19 (19F) MRI benefits from cryogenically-cooled transceive surface RF probes (CRPs), but strong B(1) 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(1) inhomogeneity. Here, a workflow was proposed and validated to correct and quantify (19)F-MR signals from the inflamed mouse brain using a (19)F-CRP. METHODS: In vivo (19)F-MR images were acquired in a neuroinflammation mouse model with a quadrature (19)F-CRP using an imaging setup including 3D-printed components to acquire co-localized anatomical and (19)F images. Model-based corrections were validated on a uniform (19)F phantom and in the neuroinflammatory model. Corrected (19)F-MR images were benchmarked against reference images and overlaid on in vivo (1)H-MR images. Computed concentration uncertainty maps using Monte Carlo simulations served as a measure of performance of the B(1) corrections. RESULTS: Our study reports on the first quantitative in vivo (19)F-MR images of an inflamed mouse brain using a (19)F-CRP, including in vivo T(1) calculations for (19)F-nanoparticles during pathology and B(1) corrections for (19)F-signal quantification. Model-based corrections markedly improved (19)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%. CONCLUSION: Our model-based correction method facilitated (19)F signal quantification in the inflamed mouse brain when using the SNR-boosting (19)F-CRP technology, paving the way for future low-SNR (19)F-MRI applications in vivo. |
| Keywords: | (19)F-MRI, B(1) Correction, Inflammation, RARE, Transceive Surface RF Probe, Animals, Mice |
| Source: | Magnetic Resonance in Medicine |
| ISSN: | 0740-3194 |
| Publisher: | Wiley |
| Volume: | 87 |
| Number: | 4 |
| Page Range: | 1952-1970 |
| Date: | April 2022 |
| Official Publication: | https://doi.org/10.1002/mrm.29094 |
| PubMed: | View item in PubMed |
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