A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles

IF 3 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance in Medicine Pub Date : 2025-03-04 DOI:10.1002/mrm.30490

Constantin Slioussarenko, Pierre-Yves Baudin, Benjamin Marty

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Abstract

Purpose

The aim of this study was to develop an optimization framework to shorten GRE-based MRF sequences while keeping similar parameter estimation quality.

Methods

An optimization framework taking into account steady-state initial longitudinal magnetization, undersampling artifacts, and mitigating overfitting by drawing from a realistic numerical thighs phantom database was developed and validated on numerical simulations and 10 healthy volunteers.

Results

The sequences optimized with the proposed framework decreased the original sequence duration by 30% (8 s per repetition instead of 11.2 s) while showing improved accuracy (SSIM going up from 96% to 99% for $F F$ , from 93% to 96% for $T 1_{H 2 O}$ on numerical simulations) and precision, especially when compared with sequences optimized through other means.

Conclusions

The proposed framework paves the way for fast 3D quantification of $F F$ and $T 1_{H 2 O}$ in the skeletal muscle.

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稳态MR指纹序列优化框架应用于大腿肌肉脂肪和水T1的快速三维定量。

目的：本研究的目的是建立一个优化框架，以缩短基于gre的MRF序列，同时保持相似的参数估计质量。方法：开发了一个优化框架，该框架考虑了稳态初始纵向磁化、欠采样伪影和通过绘制真实的数值大腿模型数据库来减轻过拟合，并在数值模拟和10名健康志愿者身上进行了验证。结果：采用该框架优化后的序列长度比原序列缩短了30倍% (8 s per repetition instead of 11.2 s) while showing improved accuracy (SSIM going up from 96% to 99% for F F $$ FF $$ , from 93% to 96% for T 1 H 2 O $$ T{1}_{H2O} $$ on numerical simulations) and precision, especially when compared with sequences optimized through other means.Conclusions: The proposed framework paves the way for fast 3D quantification of F F $$ FF $$ and T 1 H 2 O $$ T{1}_{H2O} $$ in the skeletal muscle.

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来源期刊

Magnetic Resonance in Medicine 医学-核医学

CiteScore

6.70

自引率

24.20%

发文量

376

审稿时长

2-4 weeks

期刊介绍： Magnetic Resonance in Medicine (Magn Reson Med) is an international journal devoted to the publication of original investigations concerned with all aspects of the development and use of nuclear magnetic resonance and electron paramagnetic resonance techniques for medical applications. Reports of original investigations in the areas of mathematics, computing, engineering, physics, biophysics, chemistry, biochemistry, and physiology directly relevant to magnetic resonance will be accepted, as well as methodology-oriented clinical studies.