Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Magn Reson Med. 2013 Aug;70(2):556-67. doi: 10.1002/mrm.24474. Epub 2012 Sep 24.
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.
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。