Implementation method for magneto-acoustic concentration tomography with magnetic induction (MACT-MI) based on the method of moments

Yan, Xiaoheng; Xu, Zhengyang; Pan, Ye

doi:10.1016/j.compbiomed.2020.104105

Cited by 12 publications

(6 citation statements)

References 15 publications

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“…To further analyze the quality of the MNPs concentration images reconstructed by the three models, the correlation coefficient (CC) and relative error (RE) [19] were introduced to study the effects of different positions, concentrations and sizes of MNPs clusters on the reconstruction results. Based on the concentration reconstruction target, the CC and RE of the concentration reconstruction image were calculated according to formulas ( 16) and ( 17) where N m is the concentration value of the concentration reconstruction target; N m,r is the concentration value of the concentration reconstruction result; N is the average concentration value of the concentration reconstruction target; and N r is the average concentration value of the concentration reconstruction result.…”

Section: Numerical Research On Concentration Image Reconstructionmentioning

confidence: 99%

Numerical study on imaging of magnetic nanoparticles with ultrasound based on saturation magnetization

Yan¹,

Li²,

Xu³

et al. 2022

J. Phys. D: Appl. Phys.

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Imaging of magnetic nanoparticles with ultrasound utilizes ultrasound excitation and electromagnetic receiving. At present, the size of magnetic nanoparticles (MNPs) for the imaging method is required to be no less than 100nm, which limits its application in human bodies. To overcome the limitation of particle size, imaging of magnetic nanoparticles with ultrasound based on saturation magnetization is proposed. The relationship between the concentration of superparamagnetic pear-shaped MNPs and the induced voltage under saturation magnetization is derived based on the classical Langevin theory of paramagnetism. A 3D simulation model is constructed and numerical research is carried out under the saturated magnetic field provided by the Helmholtz coil. The concentration image is reconstructed by point-by-point scanning. Numerical studies show that the induced voltage is rich in the concentration information of superparamagnetic pear-shaped MNPs, proving the feasibility of the method. The maximum induced voltage, which enhances the imaging effect, occurs under the minimum radius of the detection coil containing the region of interest (ROI). MNPs under 20nm still meet the imaging requirements in the proposed method. This research pushes the imaging of magnetic nanoparticles with ultrasound based on saturation magnetization a further step forward to practical applications in the biomedical field.

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Section: Numerical Research On Concentration Image Reconstructionmentioning

confidence: 99%

Numerical study on imaging of magnetic nanoparticles with ultrasound based on saturation magnetization

Yan¹,

Li²,

Xu³

et al. 2022

J. Phys. D: Appl. Phys.

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“…Magnetic nanoparticle imaging (MPI) is based on the magnetization of the MNPs by alternating excitation magnetic fields, and is able to provide an image with some degree of correlation with the spatial concentration distribution of the MNPs by measuring the magnetic intensity signals due to the variation of the magnetic flux. [11] Thus, the MPI method can generate a real-time image of MNP distribution for therapy and overcome the difficulty of accurately predicting MNP concentration distribution inside tumor region. [12,13] However, there are still some gaps in MPI technology that must be filled before it can be fully considered in a magnetic hyperthermia treatment.…”

Section: Introductionmentioning

confidence: 99%

Extraction method of nanoparticles concentration distribution from magnetic particle image and its application in thermal damage of magnetic hyperthermia

et al. 2023

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Magnetic particle imaging (MPI) technology can generate a real-time magnetic nanoparticle (MNP) distribution image for biological tissues, and its use can overcome the limitations imposed in magnetic hyperthermia treatments by the unpredictable MNP distribution after the intratumoral injection of nanofluid. However, the MNP concentration distribution is generally difficult to be extracted from MPI images. This study proposes an approach to extract the corresponding concentration value of each pixel from an MPI image by a least squares method (LSM), which is then translated as MNP concentration distribution by an interpolation function. The resulting MPI-based concentration distribution is used to evaluate the treatment effect and the results are compared with the ones of two baseline cases under the same dose: uniform distribution and MPI-based distribution considering diffusion. Additionally, the treatment effect for all these cases is affected by the blood perfusion rate, which is also investigated deeply in this study. The results demonstrate that the proposed method can be used to effectively reconstruct the concentration distribution from MPI images, and that the weighted LSM considering a quartic polynomial for interpolation provides the best results with respect to other cases considered. Furthermore, the results show that the uniformity of MNP distribution has a positive correlation with both therapeutic temperature distribution and thermal damage degree for the same dose and a critical power dissipation value in the MNPs. The MNPs uniformity inside biological tissue can be improved by the diffusion behavior after the nanofluid injection, which can ultimately reflect as an improvement of treatment effect. In addition, the blood perfusion rate considering local temperature can have a positive effect on the treatment compared to the case which considers a constant value during magnetic hyperthermia.

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“…In 2020, Shi et al proposed a magnetoacoustic concentration tomography of magnetically induced magnetic nanoparticles (MACT-MI), which proved that this method could detect and reconstruct the concentration of magnetic nanoparticles in biological tissues [10]. In the same year, Yan et al proposed a reconstruction algorithm of the MACT-MI inverse problem based on the method of moments, which used different shape models to reconstruct the image of the sound source and the concentration of superparamagnetic nanoparticles [11].…”

Section: Introductionmentioning

confidence: 99%

Simulation Research on Forward Problem of Magnetoacoustic Concentration Tomograghy of Magnetic Nanoparticles With Magnetic Induction Based on Multi-Coils

Yan¹,

Gao²,

Cai³

et al. 2021

PIER M

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Magnetoacoustic concentration tomograghy of magnetic nanoparticles (MNPs) with magnetic induction (MACT-MI) is a multi-physics field imaging method based on the coupling effect of magnetic field and acoustic field. In order to generate a gradient magnetic field with higher uniformity by using lower current excitation, this paper takes the magnetic field gradient of 0.3 T/m as the design objective and utilizes the Beetle Antennae Search Algorithm to optimize the parameters of the excitation current of multiple coils. The uniformity of gradient magnetic field generated by four typical six-coils structures with different radii and distances was compared with that generated by the Maxwell coil, and then the optimal structure of six-coils was determined. By using the finite element method, the physical process of MACT-MI was numerically solved according to the optimization results, and we obtained the one-dimensional and two-dimensional distribution images of magnetic force and sound pressure. The results show that compared with the Maxwell coil, the multi-coil structure can effectively reduce the current excitation and provide a higher uniform gradient magnetic field, which makes the magnetic force of MNPs more uniform and promotes the complete reconstruction of the sound source. These research results can provide research ideas for the optimization of MACT-MI system and lay a foundation for subsequent experiments and even clinical practice.

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Implementation method for magneto-acoustic concentration tomography with magnetic induction (MACT-MI) based on the method of moments

Cited by 12 publications

References 15 publications

Numerical study on imaging of magnetic nanoparticles with ultrasound based on saturation magnetization

Numerical study on imaging of magnetic nanoparticles with ultrasound based on saturation magnetization

Extraction method of nanoparticles concentration distribution from magnetic particle image and its application in thermal damage of magnetic hyperthermia

Simulation Research on Forward Problem of Magnetoacoustic Concentration Tomograghy of Magnetic Nanoparticles With Magnetic Induction Based on Multi-Coils

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