Locally Linearized Approximation of RF Pulse Propagators for Faster Simulation of Magnetization Dynamics With Slice Profile Effects in 2D MR Fingerprinting.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Locally Linearized Approximation of RF Pulse Propagators for Faster Simulation of Magnetization Dynamics With Slice Profile Effects in 2D MR Fingerprinting.
Συγγραφείς:	Mickevicius NJ; Department of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Πηγή:	Magnetic resonance in medicine [Magn Reson Med] 2026 Oct; Vol. 96 (4), pp. 1909-1915. Date of Electronic Publication: 2026 Jun 08.
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 , Image Processing, Computer-Assisted/methods , Image Interpretation, Computer-Assisted/methods , Signal Processing, Computer-Assisted, Phantoms, Imaging ; Algorithms ; Computer Simulation ; Radio Waves ; Humans ; Reproducibility of Results ; Linear Models ; Sensitivity and Specificity
Περίληψη:	Purpose: The objective for this study is to decrease the computation time of magnetic resonance fingerprinting dictionary computations that include slice profile effects. Theory and Methods: A locally linearized approximation to RF pulse propagators across RF scaling factors was derived and used to decrease the computational burden of MRF dictionary computation. MR fingerprinting phantom experiments were carried out at 3T to assess the practical feasibility of using dictionaries approximated with the proposed approach. Results: Using linearizations at 10 INLINEMATH scaling factors produced root mean square differences in estimated INLINEMATH and INLINEMATH of 1.17% and 1.98%, respectively, between dictionaries generated using a full Bloch simulation and the locally linear approximation while decreasing computation time by a factor of 10. Conclusion: The proposed locally linear approximation significantly accelerates slice-profile-aware MRF simulations while maintaining high accuracy, enabling practical incorporation of realistic RF pulse effects into large-scale dictionary computations. (© 2026 International Society for Magnetic Resonance in Medicine.)
References:	Magn Reson Med. 2014 Sep;72(3):707-17. (PMID: 24142845) Curr Opin Biomed Eng. 2017 Sep;3:56-66. (PMID: 29868647) Magn Reson Med. 2021 Aug;86(2):709-724. (PMID: 33755247) Magn Reson Med. 2017 Nov;78(5):1781-1789. (PMID: 28074530) Nature. 2013 Mar 14;495(7440):187-92. (PMID: 23486058) Magn Reson Imaging. 2020 Feb;66:248-256. (PMID: 31740194) Magn Reson Med. 2016 Jun;75(6):2372-8. (PMID: 26148753) Magn Reson Med. 2010 May;63(5):1315-22. (PMID: 20432302) Magn Reson Med. 2022 Apr;87(4):2003-2017. (PMID: 34811794) Magn Reson Med. 2017 Apr;77(4):1544-1552. (PMID: 27271292) Magn Reson Med. 2019 Apr;81(4):2347-2359. (PMID: 30320925) Magn Reson Med. 2026 Sep 6;:. (PMID: 42702748) Magn Reson Med. 2023 Jul;90(1):329-342. (PMID: 36877139) Magn Reson Med. 2017 Apr;77(4):1446-1458. (PMID: 27038043) Magn Reson Med. 2015 Dec;74(6):1621-31. (PMID: 25491018) Radiology. 1999 Sep;212(3):903-10. (PMID: 10478264) J Magn Reson. 2000 Jul;145(1):24-36. (PMID: 10873494) IEEE Trans Med Imaging. 2019 Mar;38(3):844-861. (PMID: 30295618) Magn Reson Med. 2013 Aug;70(2):504-16. (PMID: 22899104)
Contributed Indexing:	Keywords: MR fingerprinting; RF pulse simulation; quantitative MRI
Entry Date(s):	Date Created: 20260608 Date Completed: 20260729 Latest Revision: 20260927
Update Code:	20260927
PubMed Central ID:	PMC13419243
DOI:	10.1002/mrm.70462
PMID:	42260330
Βάση Δεδομένων:	MEDLINE

Full Text Finder

Περιγραφή
ISSN:	1522-2594
DOI:	10.1002/mrm.70462