文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

磁共振指纹技术定量评估脂肪浸润骨骼肌的 T1 值和脂肪分数。

MR fingerprinting for water T1 and fat fraction quantification in fat infiltrated skeletal muscles.

机构信息

NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France.

NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France.

出版信息

Magn Reson Med. 2020 Feb;83(2):621-634. doi: 10.1002/mrm.27960. Epub 2019 Sep 10.


DOI:10.1002/mrm.27960
PMID:31502715
Abstract

PURPOSE: To develop a fast MR fingerprinting (MRF) sequence for simultaneous estimation of water T1 (T1 ) and fat fraction (FF) in fat infiltrated skeletal muscles. METHODS: The MRF sequence for T1 and FF quantification (MRF T1-FF) comprises a 1400 radial spokes echo train, following nonselective inversion, with varying echo and repetition time, as well as prescribed flip angle. Undersampled frames were reconstructed at different acquisition time-points by nonuniform Fourier transform, and a bi-component model based on Bloch simulations applied to adjust the signal evolution and extract T1 and FF. The sequence was validated on a multi-vial phantom, in three healthy volunteers and five patients with neuromuscular diseases. We evaluated the agreement between MRF T1-FF parameters and reference values and confounding effects due to B0 and B1 inhomogeneities. RESULTS: In phantom, T1 and FF were highly correlated with references values measured with multi-inversion time inversion recovery-stimulated echo acquisition mode and Dixon, respectively (R > 0.99). In vivo, T1 and FF determined by the MRF T1-FF sequence were also correlated with reference values (R = 0.98 and 0.97, respectively). The precision on T1 was better than 5% for muscles where FF was less than 0.4. Both T1 and FF values were not confounded by B0 nor B1 inhomogeneities. CONCLUSION: The MRF T1-FF sequence derived T1 and FF values in voxels containing a mixture of water and fat protons. This method can be used to comprehend and characterize the effects of tissue water compartmentation and distribution on muscle T1 values in patients affected by chronic fat infiltration.

摘要

目的:开发一种快速磁共振指纹成像(MRF)序列,用于同时估计脂肪浸润骨骼肌中的水 T1(T1)和脂肪分数(FF)。

方法:用于 T1 和 FF 定量的 MRF 序列(MRF T1-FF)由 1400 个径向 spokes回波链组成,在非选择性反转后,具有不同的回波和重复时间以及规定的翻转角。欠采样的帧通过非均匀傅里叶变换在不同的采集时间点重建,并应用基于 Bloch 模拟的双分量模型来调整信号演化并提取 T1 和 FF。该序列在多瓶体体模、三名健康志愿者和五名神经肌肉疾病患者中进行了验证。我们评估了 MRF T1-FF 参数与参考值之间的一致性以及由于 B0 和 B1 不均匀性引起的混杂效应。

结果:在体模中,T1 和 FF 与使用多反转时间反转恢复刺激回波采集模式和 Dixon 分别测量的参考值高度相关(R > 0.99)。在体内,通过 MRF T1-FF 序列确定的 T1 和 FF 也与参考值相关(R = 0.98 和 0.97)。对于 FF 小于 0.4 的肌肉,T1 的精度优于 5%。T1 和 FF 值均不受 B0 和 B1 不均匀性的影响。

结论:MRF T1-FF 序列衍生的 T1 和 FF 值在包含水和脂肪质子混合物的体素中。该方法可用于理解和表征组织水隔室化和分布对慢性脂肪浸润患者肌肉 T1 值的影响。

相似文献

[1]
MR fingerprinting for water T1 and fat fraction quantification in fat infiltrated skeletal muscles.

Magn Reson Med. 2020-2

[2]
Water-Fat Separation in MR Fingerprinting for Quantitative Monitoring of the Skeletal Muscle in Neuromuscular Disorders.

Radiology. 2021-9

[3]
Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach.

Magn Reson Med. 2018-12-21

[4]
MR fingerprinting with simultaneous T, T, and fat signal fraction estimation with integrated B correction reduces bias in water T and T estimates.

Magn Reson Imaging. 2019-7

[5]
Quantitative Skeletal Muscle Imaging Using 3D MR Fingerprinting With Water and Fat Separation.

J Magn Reson Imaging. 2021-5

[6]
Bi-component dictionary matching for MR fingerprinting for efficient quantification of fat fraction and water T in skeletal muscle.

Magn Reson Med. 2024-3

[7]
Characterization of T bias in skeletal muscle from fat in MOLLI and SASHA pulse sequences: Quantitative fat-fraction imaging with T mapping.

Magn Reson Med. 2017-1

[8]
Water-fat Dixon cardiac magnetic resonance fingerprinting.

Magn Reson Med. 2020-6

[9]
Monitoring skeletal muscle chronic fatty degenerations with fast T1-mapping.

Eur Radiol. 2018-4-30

[10]
Multi-parametric liver tissue characterization using MR fingerprinting: Simultaneous T , T , T *, and fat fraction mapping.

Magn Reson Med. 2020-11

引用本文的文献

[1]
Magnetic resonance fingerprinting for the whole knee articular cartilage assessment using automated pipeline.

Eur Radiol. 2025-7-15

[2]
A Minimal Annotation Pipeline for Deep Learning Segmentation of Skeletal Muscles.

NMR Biomed. 2025-7

[3]
Multi-parametric quantitative MRI of the lower limb muscles in a longitudinal study of limb-girdle muscular dystrophy R9.

PLoS One. 2025-4-28

[4]
A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles.

Magn Reson Med. 2025-6

[5]
Assessment of training-associated changes of the lumbar back muscle using a multiparametric MRI protocol.

Front Physiol. 2024-10-17

[6]
Development of an initial training and evaluation programme for manual lower limb muscle MRI segmentation.

Eur Radiol Exp. 2024-7-25

[7]
Neuromuscular imaging in clinical practice: an ESNR survey of 30 centers.

Neuroradiology. 2024-2

[8]
Compositional and Functional MRI of Skeletal Muscle: A Review.

J Magn Reson Imaging. 2024-9

[9]
Feasibility of joint mapping of triglyceride saturation and water longitudinal relaxation in a single breath hold applied to high fat-fraction adipose depots in the periclavicular anatomy.

Magn Reson Imaging. 2023-6

[10]
Cardiac MRF using rosette trajectories for simultaneous myocardial T, T, and proton density fat fraction mapping.

Front Cardiovasc Med. 2022-9-20

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索