Relaxation-Based Super-Resolution Method in Pulsed Magnetic Particle Imaging

IF 4.2 2区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Computational Imaging Pub Date : 2024-11-20 DOI:10.1109/TCI.2024.3503364
Lei Li;Haohao Yan;Yuge Li;Yidong Liao;Yanjun Liu;Ruili Zhang;Zhongliang Wang;Xin Feng;Jie Tian
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Abstract

Spatial resolution is one of the most critical indicators for magnetic particle imaging (MPI). Due to factors such as relaxation effects and suboptimal magnetization response, MPI has not yet reached the promised spatial resolution. Pulsed MPI is a method that enables MPI to achieve the resolution predicted by the Langevin function, which thereby enables larger magnetic particles (MNPs) to enhance resolution. To further exceed this resolution, we propose a relaxation-based super-resolution method which leverages the principle that MNPs at different positions exhibit varying relaxation times due to the different DC fields provided by the gradient field. This principle allows the super-resolution method to extract signals from the center of the field free region (FFR) to enhance spatial resolution. The super-resolution method first truncates the exponential decay signal during the plateau phase of the excitation field. Then, the truncated signals are decomposed based on their relaxation times. Finally, signals from the center position of the FFR are retained, and signals from the periphery of the FFR are discarded. Using this retained signal for reconstruction results in a higher spatial resolution. We validate this method via both simulation and experimental measurements. The results indicate that, compared with sinusoidal MPI and pulsed MPI without super-resolution, the super-resolution method has two-fold improvement in resolution.
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脉冲磁粒子成像中基于弛豫的超分辨率方法
空间分辨率是磁粉成像(MPI)最关键的指标之一。由于弛豫效应和次优磁化响应等因素,MPI尚未达到预期的空间分辨率。脉冲MPI是一种使MPI达到朗之万函数预测的分辨率的方法,从而使更大的磁性颗粒(MNPs)能够提高分辨率。为了进一步超越这一分辨率,我们提出了一种基于弛豫的超分辨率方法,该方法利用了梯度场提供的不同直流场导致不同位置的MNPs表现出不同弛豫时间的原理。这一原理使得超分辨率方法可以从场自由区域(FFR)中心提取信号,从而提高空间分辨率。超分辨方法首先截断激发场平台期的指数衰减信号。然后,根据信号的松弛时间对截断后的信号进行分解。最后,保留来自FFR中心位置的信号,丢弃来自FFR外围位置的信号。利用这种保留的信号进行重建可以获得更高的空间分辨率。通过仿真和实验验证了该方法的有效性。结果表明,与无超分辨率的正弦MPI和脉冲MPI相比,超分辨率方法的分辨率提高了两倍。
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来源期刊
IEEE Transactions on Computational Imaging
IEEE Transactions on Computational Imaging Mathematics-Computational Mathematics
CiteScore
8.20
自引率
7.40%
发文量
59
期刊介绍: The IEEE Transactions on Computational Imaging will publish articles where computation plays an integral role in the image formation process. Papers will cover all areas of computational imaging ranging from fundamental theoretical methods to the latest innovative computational imaging system designs. Topics of interest will include advanced algorithms and mathematical techniques, model-based data inversion, methods for image and signal recovery from sparse and incomplete data, techniques for non-traditional sensing of image data, methods for dynamic information acquisition and extraction from imaging sensors, software and hardware for efficient computation in imaging systems, and highly novel imaging system design.
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