Slice profile and B1 corrections in 2D magnetic resonance fingerprinting
Purpose The goal of this study is to characterize and improve the accuracy of 2D magnetic resonance fingerprinting (MRF) scans in the presence of slice profile (SP) and B1 imperfections, which are two main factors that affect quantitative results in MRF. Methods The SP and B1 imperfections are chara...
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| Vydáno v: | Magnetic resonance in medicine Ročník 78; číslo 5; s. 1781 - 1789 |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Hoboken
Wiley Subscription Services, Inc
01.11.2017
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| Témata: | |
| ISSN: | 0740-3194, 1522-2594 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Purpose
The goal of this study is to characterize and improve the accuracy of 2D magnetic resonance fingerprinting (MRF) scans in the presence of slice profile (SP) and B1 imperfections, which are two main factors that affect quantitative results in MRF.
Methods
The SP and B1 imperfections are characterized and corrected separately. The SP effect is corrected by simulating the radiofrequency pulse in the dictionary, and the B1 is corrected by acquiring a B1 map using the Bloch‐Siegert method before each scan. The accuracy, precision, and repeatability of the proposed method are evaluated in phantom studies. The effects of both SP and B1 imperfections are also illustrated and corrected in the in vivo studies.
Results
The SP and B1 corrections improve the accuracy of the T1 and T2 values, independent of the shape of the radiofrequency pulse. The T1 and T2 values obtained from different excitation patterns become more consistent after corrections, which leads to an improvement of the robustness of the MRF design.
Conclusion
This study demonstrates that MRF is sensitive to both SP and B1 effects, and that corrections can be made to improve the accuracy of MRF with only a 2‐s increase in acquisition time. Magn Reson Med 78:1781–1789, 2017. © 2017 International Society for Magnetic Resonance in Medicine. |
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| Bibliografie: | Support for this study was provided by NIH 1R01EB016728‐01A1, NIH 5R01EB017219‐02, and Siemens Healthcare. This work made use of the High Performance Computing Resource in the Core Facility for Advanced Research Computing at Case Western Reserve University. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 0740-3194 1522-2594 |
| DOI: | 10.1002/mrm.26580 |