Zugriffsnummer 43261
Dokumenttyp Zeitschriftenartikel
Peer Review mit Peer Review
Sprache Englisch
Titel Flow MR fingerprinting
Autor(in); Institution
Flassbeck, S.; Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, GERMANY; Faculty of Physics and Astronomy, Heidelberg, University, Heidelberg, GERMANY
Schmidt, S.; Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, GERMANY; Faculty of Physics and Astronomy, Heidelberg, University, Heidelberg, GERMANY
Bachert, P.; Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, GERMANY; Faculty of Physics and Astronomy, Heidelberg, University, Heidelberg, GERMANY
Ladd, M.; Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, GERMANY; Faculty of Physics and Astronomy, Heidelberg, University, Heidelberg, GERMANY
Schmitter, Sebastian; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, GERMANY
Quelle/Jahr Magnetic Resonance in Medicine: 81 (2019), 4, 2536 - 2550
ISSN 0740-3194 (PRINT) ; 1522-2594 (ONLINE)
DOI
Verlag New York, NY: Wiley / ISMRM
Zusammenfassung PURPOSE: To investigate the feasibility to quantify blood velocities within the magnetic resonance fingerprinting framework, while providing relaxometric maps of static tissue. METHODS: Bipolar gradients are inserted into an SSFP-based MRF sequence to achieve velocity-dependent signal phases, allowing tri-directional time-resolved velocity component quantification. The accuracy of both relaxometric mapping and velocity quantification was validated in vivo and in phantom studies. RESULTS: Simulations determined that even for strong cardiac cycle length variations (700-1400 ms) Flow-MRF determines accurate velocity maps deviating (0.1% from the ground truth on average. The cardiac cycle length variability only results in reduced velocity-to-noise ratios. Good agreement in the velocity quantification between a standard phase-contrast cine and the Flow-MRF sequence was reached in phantom experiments. Relaxometric phantom experiments determined mean deviations between Flow-MRF and spin-echo-based reference measurements of 89 ± 25 ms / 0.8 ± 2.5 ms over the range of 630-2630 ms / 49-145 ms for T1 / T2 , respectively. The in vivo study of a human knee determined mean T1 / T2 values of 1383 ± 75 ms / 26 ± 4 ms for the gastrocnemius muscle that agree with literature values. CONCLUSION: Flow-MRF presents a novel way of quantifying velocities while simultaneously providing relaxometric maps of static tissue and it can potentially be a viable method to accelerate the inherently long acquisition times of time-resolved velocity quantification.
Themenbereich der Metrologie Metrologie in der Medizin

Zitierung

Flassbeck, S., Schmidt, S., Bachert, P., Ladd, M., & Schmitter, S. (2019). Flow MR fingerprinting. Magnetic Resonance in Medicine, 81(4), 2536–2550. https://doi.org/10.1002/mrm.27588

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