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Research PaperResearchia:202601.27016[Image Processing > Engineering]

Magnetic Resonance Simulation of Effective Transverse Relaxation (T2*)

Hidenori Takeshima

Abstract

Purpose: To simulate effective transverse relaxation (T2βˆ—T_2^*) as a part of MR simulation. T2βˆ—T_2^* consists of reversible (T2β€²T_2^{\prime}) and irreversible (T2T_2) components. Whereas simulations of T2T_2 are easy, T2β€²T_2^{\prime} is not easily simulated if only magnetizations of individual isochromats are simulated. Theory and Methods: Efficient methods for simulating T2β€²T_2^{\prime} were proposed. To approximate the Lorentzian function of T2β€²T_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 T2β€²T_2^{\prime} simulations. Results: The one-isochromat simulation demonstrated that T2β€²T_2^{\prime} simulations were possible. In the realistic cases, T2β€²T_2^{\prime} was recovered as expected without using 100+ isochromats for each point. The computational times with T2β€²T_2^{\prime} simulations were only 2.0 to 2.7 times longer than those without T2β€²T_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 T2β€²T_2^{\prime} efficiently by utilizing a linear model with a Lorentzian function, analytic solutions, and combined transitions.


Source: arXiv:2601.19246v1 - http://arxiv.org/abs/2601.19246v1 PDF: https://arxiv.org/pdf/2601.19246v1 Original Link: http://arxiv.org/abs/2601.19246v1

Submission:1/27/2026
Comments:0 comments
Subjects:Engineering; Image Processing
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arXiv: This paper is hosted on arXiv, an open-access repository
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