Respiratory motion-corrected model-based 3D water-fat MRA of the thorax at 0.55 T
Autor(in); Institution
Stoll, Robert; Department of Medical Engineering, Technical University Berlin, Berlin, GERMANY; Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG Erlangen, GERMANY
0.55 T ; cardiac MRA ; motion‐correction ; water‐fat separation
Zusammenfassung
Purpose: The goal of this study was to develop a 5-min 3D MRA acquisition at 0.55 T with predictable scan time, 100% data efficiency, and robust water-fat separation.
Methods: For full data efficiency, the proposed method combined self-gating with retrospective motion correction while ensuring a predictable 5-min scan time. Water-fat separation was implemented using a model-based Dixon reconstruction. Evaluation in 18 volunteers compared results to navigator-gated reference scans with nominal scan times of 5 and 10 min via a Likert scale blinded expert rating. Susceptibility to irregular breathing patterns was also analyzed.
Results: The expert rating for image quality was 4.22 for the proposed method, 3.89 for the 5-min navigator-gated scan and 4.43 for the 10-min navigator-gated scan. Ranking the three methods revealed moderate inter-rater reliability of 0.46, suggesting only minor differences. While navigator-gated acquisitions deviated from the expected scan time by -2.26 to 2.86 min and -3.91 to 4.54 min for the 5- and 10-min protocols respectively, the proposed method deviated only by -0.17 to 0.45 min. The self-gated method further avoided saturation artifacts from the cross-beam navigator, allowing better distinction of the right pulmonary veins. Image quality for the proposed method was also less susceptible to irregular breathing patterns.
Conclusion: Whole-thorax MRA acquisitions with water-fat separation and predictable scan times were successfully acquired in 18 volunteers at 0.55 T. The proposed method demonstrated on average better image quality than navigator-gated acquisitions of the same nominal scan time while mitigating limitations of prospective navigator gating.
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Open Access Hybrid
Rechteinformation
CC BY 4.0 ; Creative Commons Attribution 4.0 License
Förderinformationen (1)
Förderername: Deutsche Forschungsgemeinschaft
Förderer ID: 0000 0001 2096 9829
Förderer ID Typ: ISNI
Förderprogramm: GRK 2260, BIOQIC
Förderinformationen (2)
Förderername: European Partnership on Metrology
Förderer ID: 0000 0005 0727 0588
Förderer ID Typ: ISNI
Förderprogramm: 22HLT02 A4IM
Zitierung
Stoll, R., Kolbitsch, C., Schmidt, M., Nickel, M. D., Schäffter, T., & Giese, D. (2026). Respiratory motion-corrected model-based 3D water-fat MRA of the thorax at 0.55 T. Magnetic Resonance in Medicine, 95(6), 3241–3252. https://doi.org/10.1002/mrm.70285
