Academic Journal
Rosette Cardiac MR Fingerprinting for Simultaneous T1, T2, ... , and Fat Fraction Mapping Using a Multi-Echo Deep Image Prior Reconstruction.
| Τίτλος: | Rosette Cardiac MR Fingerprinting for Simultaneous T |
|---|---|
| Συγγραφείς: | Cummings E; Radiology, University of Michigan, Ann Arbor, Michigan, USA.; Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA., Cruz G; Radiology, University of Michigan, Ann Arbor, Michigan, USA., Richardson J; Radiology, University of Michigan, Ann Arbor, Michigan, USA., Kaplan S; Radiology, University of Michigan, Ann Arbor, Michigan, USA.; Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA., Hamilton J; Radiology, University of Michigan, Ann Arbor, Michigan, USA.; Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA., Seiberlich N; Radiology, University of Michigan, Ann Arbor, Michigan, USA.; Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA. |
| Πηγή: | Magnetic resonance in medicine [Magn Reson Med] 2026 Jun; Vol. 95 (6), pp. 3284-3297. Date of Electronic Publication: 2026 Feb 09. |
| 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): | Heart*/diagnostic imaging , Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*/methods , Adipose Tissue*/diagnostic imaging, Myocardium/pathology ; Image Interpretation, Computer-Assisted/methods ; Humans ; Phantoms, Imaging ; Algorithms ; Female ; Adult ; Male ; Deep Learning ; Reproducibility of Results |
| Περίληψη: | Purpose: Quantitative mapping of cardiac tissue properties is used clinically in diagnosis and monitoring of a wide variety of cardiac pathologies. Cardiac Magnetic Resonance Fingerprinting (cMRF) enables rapid and simultaneous quantification of multiple parameters in the myocardium from a single scan. In this work, a multi-echo cMRF acquisition is combined with a deep image prior framework to reconstruct cardiac T Methods: A 2D, single-breathhold, ECG-gated rosette trajectory cMRF sequence was deployed to sensitize the signal to T Results: In phantoms, good agreement was observed between the proposed technique and gold-standard reference measurements. In healthy subjects, measurements made with the deep image prior (DIP) reconstruction agreed with clinical cardiac measurements and demonstrated smaller voxel-level variance in a healthy population compared to iterative low-rank and direct matching reconstructions. Conclusion: The multi-echo cMRF acquisition coupled with a DIP reconstruction enables the simultaneous quantification of T (© 2026 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.) |
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| Grant Information: | Siemens Healthineers; R01HL163991 United States NH NIH HHS; R01HL163030 United States NH NIH HHS; R01HL153034 United States NH NIH HHS |
| Contributed Indexing: | Keywords: MR fingerprinting; cardiac MRI; deep learning reconstruction; quantitative MR |
| Entry Date(s): | Date Created: 20260210 Date Completed: 20260707 Latest Revision: 20260813 |
| Update Code: | 20260813 |
| PubMed Central ID: | PMC13049243 |
| DOI: | 10.1002/mrm.70299 |
| PMID: | 41664247 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1522-2594 |
|---|---|
| DOI: | 10.1002/mrm.70299 |