Recent developments of the reconstruction in magnetic particle imaging

Yin, Lin; Li, Wei; Du, Yang; Wang, Kun; Liu, Zhenyu; Hui, Hui

doi:10.1186/s42492-022-00120-5

Cited by 37 publications

(13 citation statements)

References 77 publications

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“…1 correspond to the green curve. The general approach to solving the synthesis problem with a change in expression (15) remained the same [25][26][27][28][29][30][31][32].…”

Section: Results Of Numerical Studiesmentioning

confidence: 99%

Computer simulation, visualization, and synthesis of a digital antenna array used for transmitting and receiving signals in industrial applications

Islamov

Hasanov

Ibrahimov

et al. 2023

Int. J. Microw. Wireless Technol.

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The article is devoted to computer modeling, visualization, and synthesis of a digital antenna array used for transmitting and receiving signals in industrial applications. The paper proposes an iterative method for the amplitude-phase synthesis of an antenna array according to the requirements for the envelope of the side lobes. The proposed method allows to determine the complex amplitudes of the elements of a digital antenna array for any given weight function, based on the theorems of matrix theory. The difference of the method lies in the iterative procedure for choosing the weight function, taking into account the excess level of the side lobes of the digital antenna array. In this regard, in the course of solving the synthesis problem, a weight function was found that leads to the fulfilment of the requirements for radiation patterns and does not lead to a decrease in the directivity coefficient. The signal-to-noise ratio was used as a criterion. For the first time, an analytical expression is given for the formation of a weight function in the course of an iterative process that takes into account the requirements for the envelope of the side lobes. The operability and convergence of the proposed method was confirmed in the course of numerical studies on the example of a digital antenna array. The performed numerical analysis confirmed the effectiveness of the proposed synthesis method.

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“…1 correspond to the green curve. The general approach to solving the synthesis problem with a change in expression (15) remained the same [25][26][27][28][29][30][31][32].…”

Section: Results Of Numerical Studiesmentioning

confidence: 99%

Computer simulation, visualization, and synthesis of a digital antenna array used for transmitting and receiving signals in industrial applications

Islamov

Hasanov

Ibrahimov

et al. 2023

Int. J. Microw. Wireless Technol.

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“…An accurate magnetization model of the SPIOs can be used to simulate the system matrix to alleviate the time cost issue in system matrix acquisition. Several relevant research works have studied the simulation of the system matrix [44]- [46]. However, the accuracy of the simulated system matrix still needs for further improvement.…”

Section: Discussionmentioning

confidence: 99%

Modified Jiles–Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging

Hui

Zhang

et al. 2023

IEEE Trans. Biomed. Eng.

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Magnetic particle imaging (MPI) is a promising medical modality that can image superparamagnetic iron-oxide nanoparticle (SPIO) concentration distributions safely and with high sensitivity. In the x-space reconstruction algorithm, the Langevin function is inaccurate in modeling the dynamic magnetization of SPIOs. This problem prevents the x-space algorithm from achieving a high spatial resolution reconstruction. Methods: We propose a more accurate model to describe the dynamic magnetization of SPIOs, named the modified Jiles-Atherton (MJA) model, and apply it to the x-space algorithm to improve the image resolution. Considering the relaxation effect of SPIOs, the MJA model generates the magnetization curve via an ordinary differential equation. Three modifications are also introduced to further improve its accuracy and robustness. Results: In magnetic particle spectrometry experiments, the MJA model shows higher accuracy than the Langevin and Debye models under various test conditions. The average root-mean-square error

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“…The system matrix method first builds a system matrix to describe the linear relationship between nanoparticle concentration and voltage signal in the frequency domain, then it reconstructs the particle distribution using an inverse problem solver (Knopp et al 2010a). The system matrix is the most accurately obtained from a delta sample of known concentration, but this gold-standard approach has extremely long acquisition times (Yin et al 2022(Yin et al , 2023. A less accurate but timesaving alternative called model-based method is to construct the system matrix by simulating a signal chain and particle model (Knopp et al 2010b(Knopp et al , 2010c.…”

Section: Introductionmentioning

confidence: 99%

Combination of time domain-system matrix and x-space methods to reconstruct magnetic particle images with isotropic resolution

Shan,

Zhang,

Yin

et al. 2024

Phys. Med. Biol.

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Objective: Imaging of superparamagnetic iron oxide nanoparticles based on their non-linear response to alternating magnetic fields shows promise for imaging cells and vasculature in healthy and diseased tissue. Such imaging can be achieved through x-space reconstruction typically along a unidirectional Cartesian trajectory, which rapidly convolutes the particle distribution with a “anisotropic blurring” point spread function (PSF), leading to images with anisotropic resolution. Approach: Here we propose combining the time domine-system matrix and x-space reconstruction methods into a forward model, where the output of the forward model is the PSF-blurred x-space reconstructed image. We then treat the blur as an inverse problem solved by Kaczmarz iteration. Main results: After we have proposed the method optimization, the normal resolution of simulation and device images has been increased from 3.5 mm and 5.25 mm to 1.5 mm and 3.25 mm, which has reached the level in the tangential resolution. Quantitative indicators of image quality such as PSNR and SSIM have also been greatly improved. Significance: Simulation and imaging of real phantoms indicate that our approach provides better isotropic resolution and image quality than the x-space method alone or other methods for removing PSF blur. Using our proposed method to optimize the image quality of x-space reconstructed images using unidirectional Cartesian trajectories, it will promote the clinical application of MPI in the future.

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Recent developments of the reconstruction in magnetic particle imaging

Cited by 37 publications

References 77 publications

Computer simulation, visualization, and synthesis of a digital antenna array used for transmitting and receiving signals in industrial applications

Computer simulation, visualization, and synthesis of a digital antenna array used for transmitting and receiving signals in industrial applications

Modified Jiles–Atherton Model for Dynamic Magnetization in X-Space Magnetic Particle Imaging

Combination of time domain-system matrix and x-space methods to reconstruct magnetic particle images with isotropic resolution

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