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Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI.

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Τίτλος: Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI.
Συγγραφείς: Toner B; Department of Radiology and Imaging Sciences, The University of Arizona, Tucson, AZ, USA.; Program in Applied Mathematics, The University of Arizona, Tucson, AZ, USA., Goerke U; MR R&D Collaborations, Siemens Medical Solutions, Phoenix, AZ, USA., Ahanonu E; Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, USA., Johnson K; Department of Radiology and Imaging Sciences, The University of Arizona, Tucson, AZ, USA., Deshpande V; MR R&D Collaborations, Siemens Medical Solutions, Houston, TX, USA., Wu HH; Department of Bioengineering, University of California Los Angeles, Los Angeles, CA, USA.; Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA., Altbach MI; Department of Radiology and Imaging Sciences, The University of Arizona, Tucson, AZ, USA.; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA., Bilgin A; Department of Radiology and Imaging Sciences, The University of Arizona, Tucson, AZ, USA.; Program in Applied Mathematics, The University of Arizona, Tucson, AZ, USA.; Department of Electrical and Computer Engineering, The University of Arizona, Tucson, AZ, USA.; Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, USA.
Πηγή: Magnetic resonance in medicine [Magn Reson Med] 2026 Oct; Vol. 96 (4), pp. 1956-1971. Date of Electronic Publication: 2026 Jun 07.
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): Image Processing, Computer-Assisted*/methods , Magnetic Resonance Imaging*, Brain/diagnostic imaging ; Reproducibility of Results ; Phantoms, Imaging ; Humans ; Uncertainty ; Algorithms ; Bayes Theorem ; Computer Simulation ; Signal-To-Noise Ratio
Περίληψη: Aims: Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex-valued, spatially varying, and temporally correlated noise that violates standard assumptions of independent and identically distributed (iid) noise.
Methods: Two voxel-wise uncertainty methods: a frequentist Likelihood Ratio Test (LRT) and a Bayesian marginal posterior approach, are introduced. Noise is modeled as spatially varying and temporally correlated using the covariance estimated from background regions. Methods were validated via simulations and phantom experiments using radial turbo spin-echo ( INLINEMATH mapping) and radial Look-Locker ( INLINEMATH mapping). In vivo experiments characterized uncertainty under varying acceleration factors.
Results: Simulations confirmed both methods achieve nominal coverage rates (e.g., 95% intervals containing the true value 95% of the time) where standard iid assumptions fail. Phantom results showed excellent agreement with gold-standard spin-echo references. In vivo experiments highlighted that higher acceleration factors widen uncertainty intervals for INLINEMATH and INLINEMATH . The LRT method proved more computationally efficient than the Bayesian approach while providing comparable interval estimates.
Conclusion: A robust framework is presented for UQ in dictionary-matched qMRI. By modeling the non-iid noise inherent in modern reconstructions, these methods provide statistically interpretable UQ that assesses the reliability of parameter maps in clinical settings.
(© 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: DMS-1937229 National Science Foundation; Technology and Research Initiative Fund (TRIF) Improving Health Initiative; R01 CA245920 United States CA NCI NIH HHS; EB031894 United States NH NIH HHS; CA245920 United States NH NIH HHS; CTR056039 Arizona Biomedical Research Centre; U01 EB031894 United States EB NIBIB NIH HHS; R01 HL159200 United States HL NHLBI NIH HHS
Contributed Indexing: Keywords: quantitative MRI; uncertainty quantification
Entry Date(s): Date Created: 20260608 Date Completed: 20260729 Latest Revision: 20260731
Update Code: 20260731
PubMed Central ID: PMC13419121
DOI: 10.1002/mrm.70459
PMID: 42252544
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1522-2594
DOI:10.1002/mrm.70459