ArticleMagnetic resonance in medicine2018
An optimized framework for quantitative magnetization transfer imaging of the cervical spinal cord in vivo.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Pooled it
- Investigating the Sensitivity of the Diffusion MRI Signal to Magnetization Transfer and Permeability via Monte-Carlo Simulations.Magnetic resonance in medicine · 2026Article
- Feasibility of in vivo multi-parametric quantitative magnetic resonance imaging of the healthy sciatic nerve with a unified signal readout protocol.Scientific reports · 2023Article
- Advanced spinal cord MRI in multiple sclerosis: Current techniques and future directions.NeuroImage. Clinical · 2022Review
- Macromolecular Proton Fraction as a Myelin Biomarker: Principles, Validation, and Applications.Frontiers in neuroscience · 2022Review
- Diffusion Kurtosis Imaging of Neonatal Spinal Cord in Clinical Routine.Frontiers in radiology · 2022Article
- Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising.NeuroImage · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
purposeTo develop a framework to fully characterize quantitative magnetization transfer indices in the human cervical cord in vivo within a clinically feasible time.
methodsA dedicated spinal cord imaging protocol for quantitative magnetization transfer was developed using a reduced field-of-view approach with echo planar imaging (EPI) readout. Sequence parameters were optimized based in the Cramer-Rao-lower bound. Quantitative model parameters (i.e., bound pool fraction, free and bound pool transverse relaxation times [ T2F, T2B], and forward exchange rate [k
resultsCramer-Rao-lower bound minimization produces optimal sampling schemes without requiring the establishment of a steady-state MT effect. The proposed framework allows quantitative voxel-wise estimation of model parameters at the resolution typically used for spinal cord imaging (i.e. 0.75 × 0.75 × 5 mm
conclusionThe framework developed enables robust characterization of spinal cord microstructure in vivo using qMT. Magn Reson Med 79:2576-2588, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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