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基于双步R1rho的洛伦兹拟合(DROF):一种新的CEST分析方法及其与现有方法的比较。

Double-Step R1rho-Based Lorentzian Fitting (DROF): A New CEST Analysis Approach and Its Comparison With Existing Methods.

作者信息

Zhang Huabin, Zeng Shihao, Wang Jiawen, Cai Pei, Wang Ziyan, Chen Lin, Qiu Bensheng, Huang Jianpan

机构信息

Medical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.

Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.

出版信息

NMR Biomed. 2025 Aug;38(8):e70082. doi: 10.1002/nbm.70082.

Abstract

At 3-T MRI, reliable quantification of CEST contrast is challenged by peak overlap and broad background contamination. Because of this limitation, some previous studies employ four-pool Lorentzian fitting (i.e., amide, direct water saturation, magnetization transfer, and relayed nuclear Overhauser enhancement) for CEST analysis at 3 T, where the multiple CEST contrasts at positive frequency offsets are treated as a single pool. In addition, for fitting-based methods, the fitting accuracy can be readily affected by initial values and boundary conditions. To address these problems, a new CEST analysis approach, named double-step R1rho-based Lorentzian fitting (DROF), with initial value randomization, was developed in this study for extracting five-pool (additional CEST@2 ppm pool) Lorentzian fitting parameters at 3 T. Moreover, a comprehensive evaluation framework including three metrics was proposed to assess the performance of CEST analysis methods. The accuracy and robustness of DROF were evaluated using both simulation and in vivo human data at 3 T, and its performance was compared with existing methods. Results demonstrate that DROF offers improved specificity and stability, suggesting its potential to enhance CEST applicability at 3 T.

摘要

在3T磁共振成像(MRI)中,CEST对比度的可靠量化受到峰重叠和广泛背景污染的挑战。由于这一局限性,一些先前的研究采用四池洛伦兹拟合(即酰胺、直接水饱和、磁化转移和中继核奥弗豪泽增强)在3T下进行CEST分析,其中正频率偏移处的多个CEST对比度被视为一个单一池。此外,对于基于拟合的方法,拟合精度很容易受到初始值和边界条件的影响。为了解决这些问题,本研究开发了一种新的CEST分析方法,称为基于双步R1rho的洛伦兹拟合(DROF),具有初始值随机化,用于在3T下提取五池(额外的CEST@2 ppm池)洛伦兹拟合参数。此外,还提出了一个包括三个指标的综合评估框架,以评估CEST分析方法的性能。使用3T下的模拟数据和人体活体数据评估了DROF的准确性和鲁棒性,并将其性能与现有方法进行了比较。结果表明,DROF具有更高的特异性和稳定性,表明其在增强3T下CEST适用性方面的潜力。

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