Academic Journal
oDual-MRF: An Optimized Dual-Alternating MR Fingerprinting Sequence.
| Τίτλος: | oDual-MRF: An Optimized Dual-Alternating MR Fingerprinting Sequence. |
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| Συγγραφείς: | Li S; College of Optical Science and Engineering, Zhejiang University, Hangzhou, China., Zhao B; College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China.; ZJU-UIUC Institute, Zhejiang University, Hangzhou, China., Xu P; College of Optical Science and Engineering, Zhejiang University, Hangzhou, China., Chen Y; College of Optical Science and Engineering, Zhejiang University, Hangzhou, China., Liu H; College of Optical Science and Engineering, Zhejiang University, Hangzhou, China.; Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China., Ye H; School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China. |
| Πηγή: | Magnetic resonance in medicine [Magn Reson Med] 2026 Jul; Vol. 96 (1), pp. 27-36. Date of Electronic Publication: 2026 Mar 15. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1999- : New York, NY : Wiley Original Publication: San Diego : Academic Press |
| Ιατρικοί όροι (MeSH): | Magnetic Resonance Imaging*/methods , Brain*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Image Interpretation, Computer-Assisted*/methods, Image Enhancement/methods ; Humans ; Algorithms ; Phantoms, Imaging ; Reproducibility of Results ; Computer Simulation ; Signal Processing, Computer-Assisted |
| Περίληψη: | Purpose: To improve the quantitative accuracy of INLINEMATH mapping in magnetic resonance fingerprinting by introducing the Dual-MRF sequence, which alternates between FISP and PSIF acquisitions, and optimizing its parameters using estimator variance minimization. Methods: The PSIF module was incorporated into the MRF sequence, resulting in the Dual-MRF sequence with alternating signals. Furthermore, the oDual-MRF sequence was obtained by optimizing parameters such as flip angle, repetition time, and alternation scheme using the Cramer-Rao Bound. The performance of FISP-MRF, Dual-MRF, and oDual-MRF was evaluated through simulations, phantom experiments, and in vivo studies. Results: Dual-MRF achieved higher INLINEMATH quantification accuracy compared to conventional FISP-MRF while maintaining INLINEMATH accuracy. oDual-MRF further improved INLINEMATH accuracy without compromising INLINEMATH map quality. Conclusion: CRB-based optimization of Dual-MRF enhances INLINEMATH quantification while preserving INLINEMATH accuracy, providing a promising framework for reliable multiparametric MRF. (© 2026 International Society for Magnetic Resonance in Medicine.) |
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| Grant Information: | 2021YFF0501503 National Key Research and Development Program of China; LY22F010007 Zhejiang Provincial Natural Science Foundation of China; XY2025023 Scientific Research Fund of Zhejiang University; 2025C01127 Zhejiang Provincial 'Jianbing Lingyan+X' Science and Technology Program |
| Contributed Indexing: | Keywords: Cramer‐Rao Bound; Magnetic Resonance Fingerprinting; quantitative map; sequence parameter optimization |
| Entry Date(s): | Date Created: 20260315 Date Completed: 20260711 Latest Revision: 20260711 |
| Update Code: | 20260711 |
| DOI: | 10.1002/mrm.70345 |
| PMID: | 41833528 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1522-2594 |
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| DOI: | 10.1002/mrm.70345 |