基于Cramér-Rao下界和顺序二次规划优化脉冲饱和传递MR指纹识别
医学物理
2025-10-21 v1
摘要
目的：开发一种优化脉冲饱和传递MR指纹识别（ST MRF）获取方法。方法：在基于Bloch-McConnell的模拟信号上应用Cramér-Rao下界（CRB）进行方差评估，随后采用数值顺序二次规划优化并避免局部极小值。验证在3T下使用L-精氨酸模拟物和4名健康志愿者进行，限制扫描时间小于40秒。结果：所提出的优化方法在体内与参考金标准值显著改善，相较于基线非优化方案，NRMSE降低8%，SSIM提高7%，Pearson相关系数提高15%（p<0.001）。结论：CRB与顺序二次规划结合，搭配快速Bloch-McConnell模拟器，为优化和加速脉冲CEST和半固体磁化传递（MT）MRF获取提供了方法。
引用
@article{arxiv.2504.03298,
title = {Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cram\'er-Rao bound and sequential quadratic programming},
author = {Nikita Vladimirov and Moritz Zaiss and Or Perlman},
journal= {arXiv preprint arXiv:2504.03298},
year = {2025}
}
备注
Submitted to Magnetic Resonance in Medicine. This project was funded by the European Union (ERC, BabyMagnet, project no. 101115639). Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them