Suppr超能文献

基于酰胺质子转移 MRI 的定量贝叶斯模型分析。

Quantitative Bayesian model-based analysis of amide proton transfer MRI.

机构信息

Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.

出版信息

Magn Reson Med. 2013 Aug;70(2):556-67. doi: 10.1002/mrm.24474. Epub 2012 Sep 24.

Abstract

Amide Proton Transfer (APT) reports on contrast derived from the exchange of protons between amide groups and water. Commonly, APT contrast is quantified by asymmetry analysis, providing an ensemble contrast of both amide proton concentration and exchange rate. An alternative is to sample the off-resonant spectrum and fit an exchange model, permitting the APT effect to be quantified, correcting automatically for confounding effects of spillover, field inhomogeneity, and magnetization transfer. Additionally, it should permit amide concentration and exchange rate to be independently quantified. Here, a Bayesian method is applied to this problem allowing pertinent prior information to be specified. A three-pool model was used incorporating water protons, amide protons, and magnetization transfer effect. The method is demonstrated in simulations, creatine phantoms with varying pH and in vivo (n = 7). The Bayesian model-based approach was able to quantify the APT effect accurately (root-mean-square error < 2%) even when subject to confounding field variation and magnetization transfer effect, unlike traditional asymmetry analysis. The in vivo results gave approximate APT concentration (relative to water) and exchange rate values of 3 × 10(-3) and 15 s(-1) . A degree of correlation was observed between these parameter making the latter difficult to quantify with absolute accuracy, suggesting that more optimal sampling strategies might be required.

摘要

酰胺质子转移 (APT) 报告了来自酰胺基团和水之间质子交换的对比。通常,通过不对称分析对 APT 对比进行量化,提供了酰胺质子浓度和交换率的整体对比。另一种方法是采样非共振光谱并拟合交换模型,允许量化 APT 效应,自动校正溢出、场不均匀性和磁化转移的混杂效应。此外,它应该允许独立量化酰胺浓度和交换率。在这里,应用贝叶斯方法解决这个问题,允许指定相关的先验信息。使用包含水质子、酰胺质子和磁化转移效应的三池模型。该方法在模拟、具有不同 pH 值的肌酸幻影和体内 (n = 7) 中进行了演示。与传统的不对称分析不同,基于贝叶斯模型的方法即使受到混杂场变化和磁化转移效应的影响,也能够准确地量化 APT 效应(均方根误差 < 2%)。体内结果给出了近似的 APT 浓度(相对于水)和交换率值,分别为 3×10(-3) 和 15 s(-1)。观察到这些参数之间存在一定程度的相关性,使得后者难以进行绝对准确的量化,这表明可能需要更优化的采样策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e303/7334045/dfde3108c0ca/EMS86709-f001.jpg

相似文献

引用本文的文献

9
A hybrid numeric-analytic solution for pulsed CEST.用于脉冲 CEST 的混合数值分析解
NMR Biomed. 2022 Jan;35(1):e4610. doi: 10.1002/nbm.4610. Epub 2021 Oct 11.

本文引用的文献

9
In vivo mapping of brain myo-inositol.脑肌醇的体内定位。
Neuroimage. 2011 Feb 1;54(3):2079-85. doi: 10.1016/j.neuroimage.2010.10.017. Epub 2010 Oct 14.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验