ArticleMagnetic resonance in medicine2025
Quantitative macromolecular proton fraction imaging using pulsed spin-lock.
Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Dipolar Order Mapping Based on Spin-Lock Magnetic Resonance Imaging.NMR in biomedicine · 2026Article
- Quantitative macromolecular proton fraction imaging using pulsed spin-lock.Magnetic resonance in medicine · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
purposeRecent studies have shown that spin-lock MRI can simplify quantitative magnetization transfer (MT) by eliminating its dependency on water pool parameters, removing the need for a T1 map in macromolecular proton fraction (MPF) quantification. However, its application is often limited by the requirement for long radiofrequency (RF) pulse durations, which are constrained by RF hardware capabilities despite remaining within specific absorption rate (SAR) safety limits.
methodsTo address this challenge, we propose a novel method, MPF mapping using pulsed spin-lock (MPF-PSL). MPF-PSL employs a pulsed spin-lock train with intermittent free precession periods, enabling extended total spin-lock durations without exceeding hardware and specific absorption rate limits. A comprehensive analytical framework was developed to model the magnetization dynamics of the two-pool MT system under pulsed spin-lock, demonstrating that MPF-PSL achieves MT-specific quantification while minimizing confounding effects from the water pool. The proposed method is validated with Bloch-McConnell simulations, phantoms, and in vivo studies at 3T.
resultsBoth Bloch-McConnell simulations and phantom validation demonstrated that MPF-PSL exhibits insensitivity to water pool parameters while enabling robust MPF quantification. In vivo validation studies confirmed the method's clinical utility in detecting collagen deposition in patients with liver fibrosis.
conclusionMPF-PSL presents a practical solution for quantitative MT imaging, with strong potential for clinical applications.
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