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Improved Quantitative Analysis Method for Magnetic Particle Imaging Based on Deblurring and Region Scalable Fitting

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Abstract   

Purpose

Magnetic particle imaging (MPI) is a technique for imaging magnetic particle concentration distribution. It has the advantages of high sensitivity, no signal attenuation with depth, and no ionizing radiation. Although MPI has been widely used in the biomedical field, accurate image analysis has been challenging due to its anisotropic point spread function (PSF). The purpose of this study is to propose an MPI image restoring and segmentation method to facilitate a more precise quantitative evaluation of the magnetic particle imaging in vivo.

Procedures

We proposed a DeRSF method that combined deblurring and region scalable fitting (RSF) to determine the imaging tracer distribution. Then a uniform erosion and scaling criterion was established based on simulation experiments to correct the segmentation results, which was further validated on phantom imaging. Finally, we imaged the MPI tracer at gradient concentrations to establish the calibration curve between the MPI signal and iron mass for iron quantification in phantom and in vivo imaging.

Results

The phantom imaging experiments showed that our method achieved improved segmentation performance. The mean value of the dice coefficients for segmentation was up to 0.86, demonstrating that our method can accurately map and quantify the distribution of the tracer. Moreover, the iron quantification on both phantom and in vivo mouse imaging was realized with the minimal error of 5.50%, by our established calibration curve.

Conclusions

Our proposed DeRSF method was successfully used for improved MPI quantitative analysis. More importantly, this method also showed accurate quantitative results on images with different shapes and tracer concentrations in both phantom and in vivo data, which laid the foundation for the biomedical study of MPI.

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Data Availability

All data and code for this study are available from the corresponding authors upon reasonable request.

All applicable institutional and/or national guidelines for the care and use of animals were followed.

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Funding

This work was funded by the National Key Research and Development Program of China (2017YFA0205200), National Natural Science Foundation of China (62027901, 81871514, 92159303, 82272111, 81227901, 81470083, 81527805); Beijing Natural Science Foundation (7212207). The Project of High-Level Talents Team Introduction in Zhuhai City (Zhuhai HLHPTP201703).

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Contributions

LW collected and analyzed the experimental data; YH and YSZ processed the in vivo image; LW and LZ wrote the manuscript; LZ, JT, and YD supervised and edited the manuscript. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Jie Tian, Lu Zhang or Yang Du.

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The authors declare no competing interests.

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Wang, L., Huang, Y., Zhao, Y. et al. Improved Quantitative Analysis Method for Magnetic Particle Imaging Based on Deblurring and Region Scalable Fitting. Mol Imaging Biol 25, 788–797 (2023). https://doi.org/10.1007/s11307-023-01812-x

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  • DOI: https://doi.org/10.1007/s11307-023-01812-x

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