Suppr超能文献

在急性中风的定量 CEST 成像中,无模型洛伦兹拟合与自旋锁定模型拟合的比较。

Comparison of model-free Lorentzian and spinlock model-based fittings in quantitative CEST imaging of acute stroke.

机构信息

Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Emory National Primate Research Center, Emory University, Atlanta, Georgia, USA.

出版信息

Magn Reson Med. 2023 Nov;90(5):1958-1968. doi: 10.1002/mrm.29772. Epub 2023 Jun 19.

Abstract

PURPOSE

CEST MRI detects complex tissue changes following acute stroke. Our study aimed to test if spinlock model-based fitting of the quasi-steady-state (QUASS)-reconstructed equilibrium CEST MRI improves the determination of multi-pool signal changes over the commonly-used model-free Lorentzian fitting in acute stroke.

THEORY AND METHODS

Multiple three-pool CEST Z-spectra were simulated using Bloch-McConnell equations for a range of T , relaxation delay, and saturation times. The multi-pool CEST signals were solved from the simulated Z-spectra to test the accuracy of routine Lorentzian (model-free) and spinlock (model-based) fittings without and with QUASS reconstruction. In addition, multiparametric MRI scans were obtained in rat models of acute stroke, including relaxation, diffusion, and CEST Z-spectrum. Finally, we compared model-free and model-based per-pixel CEST quantification in vivo.

RESULTS

The spinlock model-based fitting of QUASS CEST MRI provided a nearly T -independent determination of multi-pool CEST signals, advantageous over the fittings of apparent CEST MRI (model-free and model-based). In vivo data also demonstrated that the spinlock model-based QUASS fitting captured significantly different changes in semisolid magnetization transfer (-0.9 ± 0.8 vs. 0.3 ± 0.8%), amide (-1.1 ± 0.4 vs. -0.5 ± 0.2%), and guanidyl (1.0 ± 0.4 vs. 0.7 ± 0.3%) signals over the model-free Lorentzian analysis.

CONCLUSION

Our study demonstrated that spinlock model-based fitting of QUASS CEST MRI improved the determination of the underlying tissue changes following acute stroke, promising further clinical translation of quantitative CEST imaging.

摘要

目的

CEST MRI 可检测急性卒中后的复杂组织变化。本研究旨在测试基于自旋锁定模型的准稳态 (QUASS) 重建平衡 CEST MRI 拟合是否优于常用的无模型洛伦兹拟合,从而提高对急性卒中后多池信号变化的确定。

理论和方法

使用布洛赫-麦康奈尔方程模拟了一系列 T 、弛豫延迟和饱和时间的多池 CEST Z 谱。从模拟的 Z 谱中求解多池 CEST 信号,以测试无和有 QUASS 重建时常规洛伦兹(无模型)和自旋锁定(有模型)拟合的准确性。此外,还在急性卒中大鼠模型中获得了多参数 MRI 扫描,包括弛豫、扩散和 CEST Z 谱。最后,我们比较了模型自由和模型基于的体内每像素 CEST 定量。

结果

QUASS CEST MRI 的自旋锁定模型基拟合提供了多池 CEST 信号的几乎与 T 无关的确定,优于表观 CEST MRI(无模型和有模型)的拟合。体内数据还表明,自旋锁定模型基 QUASS 拟合捕获了半固体磁化传递(-0.9±0.8 对 0.3±0.8%)、酰胺(-1.1±0.4 对-0.5±0.2%)和胍基(1.0±0.4 对 0.7±0.3%)信号的显著不同变化,而不是无模型洛伦兹分析。

结论

本研究表明,QUASS CEST MRI 的自旋锁定模型基拟合改善了急性卒中后潜在组织变化的确定,有望进一步转化为定量 CEST 成像的临床应用。

相似文献

7
Fast and equilibrium CEST imaging of brain tumor patients at 3T.3T 下脑肿瘤患者的快速平衡 CEST 成像。
Neuroimage Clin. 2022;33:102890. doi: 10.1016/j.nicl.2021.102890. Epub 2021 Nov 27.

引用本文的文献

本文引用的文献

8
Fast and equilibrium CEST imaging of brain tumor patients at 3T.3T 下脑肿瘤患者的快速平衡 CEST 成像。
Neuroimage Clin. 2022;33:102890. doi: 10.1016/j.nicl.2021.102890. Epub 2021 Nov 27.

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验