Highly accelerated non-contrast-enhanced time-resolved 4D MRA using stack-of-stars golden-angle radial acquisition with a self-calibrated low-rank subspace reconstruction.
Autor: | Zhao T; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA., Tang J; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA., Krumpelman C; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Moum SJ; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.; Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA., Russin JJ; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA., Ansari SA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Chen Z; Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA., Feng L; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA., Yan L; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA. |
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Jazyk: | angličtina |
Zdroj: | Magnetic resonance in medicine [Magn Reson Med] 2025 Feb; Vol. 93 (2), pp. 615-629. Date of Electronic Publication: 2024 Sep 30. |
DOI: | 10.1002/mrm.30304 |
Abstrakt: | Purpose: To develop a highly accelerated non-contrast-enhanced 4D-MRA technique by combining stack-of-stars golden-angle radial acquisition with a modified self-calibrated low-rank subspace reconstruction. Methods: A low-rank subspace reconstruction framework was introduced in radial 4D MRA (SUPER 4D MRA) by combining stack-of-stars golden-angle radial acquisition with control-label k-space subtraction-based low-rank subspace modeling. Radial 4D MRA data were acquired and reconstructed using the proposed technique on 12 healthy volunteers and 1 patient with steno-occlusive disease. The performance of SUPER 4D MRA was compared with two temporally constrained reconstruction methods (golden-angle radial sparse parallel [GRASP] and GRASP-Pro) at different acceleration rates in terms of image quality and delineation of blood dynamics. Results: SUPER 4D MRA outperformed the other two reconstruction methods, offering superior image quality with a clear background and detailed delineation of cerebrovascular structures as well as great temporal fidelity in blood flow dynamics. SUPER 4D MRA maintained excellent performance even at higher acceleration rates. Conclusions: SUPER 4D MRA is a promising technique for highly accelerating 4D MRA acquisition without comprising both temporal fidelity and image quality. (© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.) |
Databáze: | MEDLINE |
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