Li Li, Zhu Hongquan, Zhang Xiaoxiao, Hu Anqi, Viswanathan Malvika, Zhu Wenzhen, Zu Zhongliang
Radiology Department, Tongji Hospital, Tongji Medical College, HUST, Wuhan, China.
Clinical & Technical Solutions, Philips Healthcare, Wuhan, China.
NMR Biomed. 2025 Jun;38(6):e70052. doi: 10.1002/nbm.70052.
Specific chemical exchange saturation transfer (CEST) imaging, especially at low-field clinical 3-T scanners where multiple pools overlap, is challenging. Recently, a double saturation power (DSP)-CEST method has been developed to improve the specificity in quantifying two major CEST variations: amide proton transfer (APT) and nuclear Overhauser enhancement (NOE). This method avoids the mutual interference between APT and NOE, unlike the conventional asymmetry analysis method. It is also model-free, making it more robust compared to various Lorentzian fitting methods. Initially, this method was developed for continuous-wave saturation and tested in animals on preclinical MRI. This paper aims to further develop the method for pulsed-CEST saturation and apply it to human imaging at 3 T. Simulations and phantom experiments were first conducted to validate its specificity. Subsequently, in vivo experiments were performed on six healthy human brains to demonstrate its applications. Two CEST quantification metrics, including the magnetization transfer ratio (MTR) and apparent exchange-dependent relaxation (AREX), were evaluated. The DSP-CEST successfully eliminated all confounding components and specifically quantified the APT and NOE effects. It demonstrated significantly lower MTR-quantified APT effects and higher AREX-quantified APT effects in white matter (WM) than in gray matter (GM). Moreover, it revealed no significant difference in the MTR-quantified NOE effect between WM and GM, but a significantly higher AREX-quantified NOE effect in WM than in GM. These results, differing from those obtained using the asymmetry analysis, confirmed their different origins. In contrast, they align with those obtained using a Lorentzian difference (LD) analysis, suggesting both methods have improved specificity. Yet, without the need to assume the fitting models and set fitting parameters, the DSP-CEST method proves to be more robust than the LD method.
特异性化学交换饱和转移(CEST)成像具有挑战性,尤其是在多个池重叠的低场临床3-T扫描仪中。最近,一种双饱和功率(DSP)-CEST方法已被开发出来,以提高在量化两个主要CEST变化方面的特异性:酰胺质子转移(APT)和核Overhauser增强(NOE)。与传统的不对称分析方法不同,该方法避免了APT和NOE之间的相互干扰。它也是无模型的,与各种洛伦兹拟合方法相比,使其更加稳健。最初,该方法是为连续波饱和而开发的,并在动物的临床前MRI上进行了测试。本文旨在进一步开发用于脉冲CEST饱和的方法,并将其应用于3T的人体成像。首先进行了模拟和体模实验以验证其特异性。随后,对六名健康人类大脑进行了体内实验以证明其应用。评估了两个CEST量化指标,包括磁化转移率(MTR)和表观交换依赖弛豫(AREX)。DSP-CEST成功消除了所有混杂成分,并特异性地量化了APT和NOE效应。结果表明,与灰质(GM)相比,白质(WM)中MTR量化的APT效应显著更低,而AREX量化的APT效应更高。此外,它还揭示了WM和GM之间MTR量化的NOE效应没有显著差异,但WM中AREX量化的NOE效应显著高于GM。这些结果与使用不对称分析获得的结果不同,证实了它们的不同来源。相比之下,它们与使用洛伦兹差异(LD)分析获得的结果一致,表明这两种方法都提高了特异性。然而,由于无需假设拟合模型和设置拟合参数,DSP-CEST方法被证明比LD方法更稳健。