Academic Journal
Modelling Motion-Induced Signal Corruption in Steady-State Diffusion MRI.
| Τίτλος: | Modelling Motion-Induced Signal Corruption in Steady-State Diffusion MRI. |
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| Συγγραφείς: | Tendler BC; Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Wu W; Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Miller KL; Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Hess AT; Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK. |
| Πηγή: | Magnetic resonance in medicine [Magn Reson Med] 2026 Jul; Vol. 96 (1), pp. 66-82. Date of Electronic Publication: 2026 Feb 27. |
| 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): | Diffusion Magnetic Resonance Imaging*/methods , Brain*/diagnostic imaging , Brain*/anatomy & histology , Image Processing, Computer-Assisted*/methods , Artifacts*, Image Enhancement/methods ; Humans ; Motion ; Algorithms ; Monte Carlo Method ; Computer Simulation ; Reproducibility of Results ; Signal-To-Noise Ratio ; Sensitivity and Specificity ; Signal Processing, Computer-Assisted |
| Περίληψη: | Purpose: Diffusion-weighted steady-state free precession (DW-SSFP) is a diffusion imaging sequence achieving high SNR efficiency. A key challenge for in vivo DW-SSFP is the sequence's severe motion sensitivity, currently limiting investigations to low or no motion regimes. Here we establish a framework to both (1) model and (2) correct for the impact of subject motion associated with the underlying magnetisation distribution of DW-SSFP. Theory and Methods: An extended phase graphs (EPG) representation of the 1D DW-SSFP signal was established incorporating a motion operator describing rigid body and pulsatile motion. The representation was validated using Monte Carlo simulations, and subsequently integrated into a data fitting routine for motion estimation and correction. The fitting routine was evaluated using both simulations and a voxelwise correction applied to in vivo experimental 2D low-resolution single-shot timeseries DW-SSFP data acquired in the human brain in three healthy volunteers, with a tensor reconstructed from the motion-corrected experimental DW-SSFP data. Results: The proposed EPG-motion framework gives excellent agreement to complementary Monte Carlo simulations, demonstrating that diffusion coefficient estimation is robust over a range of motion and SNR regimes. Tensor estimates from the motion-corrected experimental DW-SSFP data give good visual agreement to complementary diffusion-weighted spin-echo (DW-SE) data acquired in the same subject, considerably reducing orientation-dependent motion-induced biases. Conclusion: Temporal information capturing the evolution of the DW-SSFP signal can be used to retrospectively (1) estimate subject motion and (2) reconstruct motion-corrected DW-SSFP data. Open-source software is provided, facilitating future investigations into the impact of subject-motion on DW-SSFP acquisitions. (© 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: | RF∖201819∖18∖92 Royal Academy of Engineering; NIHR203316 NIHR Oxford Health Biomedical Research Centre; 203139/A/16/Z United Kingdom WT_ Wellcome Trust; 203139/Z/16/Z United Kingdom WT_ Wellcome Trust; 222829/Z/21/Z United Kingdom WT_ Wellcome Trust; 224573/Z/21/Z United Kingdom WT_ Wellcome Trust |
| Contributed Indexing: | Keywords: diffusion MRI; diffusion‐weighted steady‐state free precession; extended phase graphs; in vivo; motion correction; steady‐state diffusion |
| Entry Date(s): | Date Created: 20260228 Date Completed: 20260710 Latest Revision: 20260710 |
| Update Code: | 20260711 |
| PubMed Central ID: | PMC13156452 |
| DOI: | 10.1002/mrm.70315 |
| PMID: | 41761427 |
| Βάση Δεδομένων: | MEDLINE |
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