arXiv:2601.19246eess.IVcs.CV2026-01

用线性相位模型高效模拟磁共振中难算的T2*成分

Magnetic Resonance Simulation of Effective Transverse Relaxation (T2*)

  • 用线性相位模型直接模拟洛伦兹函数,避免繁复的等频层模拟
  • 仅需1次等频层模拟即可还原T2',计算时间仅增加2.0~2.7倍
  • 结合解析解与联合跃迁技术,加速达19倍,适合医学成像研究者

目的:作为磁共振模拟的一部分,模拟有效横向弛豫时间(T2*)。T2*由可逆分量(T2′)和不可逆分量(T2)组成。虽然T2的模拟较易,但若仅对单个等频层的磁化强度进行模拟,则T2′难以准确模拟。为此,提出高效的T2′模拟方法。传统模拟为真实逼近洛伦兹函数需使用100多个等频层。本方法通过采用线性相位模型,可直接模拟整个洛伦兹函数,从而避免该近似。为实现该模型,还模拟了磁化强度关于频率轴的偏导数。为加速此类模拟,引入两种技术:解析解与联合跃迁。为理解基本机制,进行了单等频层模拟;为评估实际效果,使用两个含/不含T2′模拟的模型,对多种脉冲序列进行仿真。结果:单等频层模拟验证了T2′模拟的可行性。在真实案例中,无需每个点使用100+等频层即可正确恢复T2′。加入T2′模拟后,计算时间仅为无模拟时的2.0至2.7倍。当采用上述两项技术时,解析解使速度提升19倍,联合跃迁最高提速17倍。结论:理论与结果表明,所提方法通过线性模型、洛伦兹函数、解析解及联合跃迁,实现了对T2′的高效模拟。

原文摘要 · Abstract (English)

Purpose: To simulate effective transverse relaxation ($T_2^*$) as a part of MR simulation. $T_2^*$ consists of reversible ($T_2^{\prime}$) and irreversible ($T_2$) components. Whereas simulations of $T_2$ are easy, $T_2^{\prime}$ is not easily simulated if only magnetizations of individual isochromats are simulated. Theory and Methods: Efficient methods for simulating $T_2^{\prime}$ were proposed. To approximate the Lorentzian function of $T_2^{\prime}$ realistically, conventional simulators require 100+ isochromats. This approximation can be avoided by utilizing a linear phase model for simulating an entire Lorentzian function directly. To represent the linear phase model, the partial derivatives of the magnetizations with respect to the frequency axis were also simulated. To accelerate the simulations with these partial derivatives, the proposed methods introduced two techniques: analytic solutions, and combined transitions. For understanding the fundamental mechanism of the proposed method, a simple one-isochromat simulation was performed. For evaluating realistic cases, several pulse sequences were simulated using two phantoms with and without $T_2^{\prime}$ simulations. Results: The one-isochromat simulation demonstrated that $T_2^{\prime}$ simulations were possible. In the realistic cases, $T_2^{\prime}$ was recovered as expected without using 100+ isochromats for each point. The computational times with $T_2^{\prime}$ simulations were only 2.0 to 2.7 times longer than those without $T_2^{\prime}$ simulations. When the above-mentioned two techniques were utilized, the analytic solutions accelerated 19 times, and the combined transitions accelerated up to 17 times. Conclusion: Both theory and results showed that the proposed methods simulated $T_2^{\prime}$ efficiently by utilizing a linear model with a Lorentzian function, analytic solutions, and combined transitions.

磁共振T2*模拟加速算法医学成像

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