Mixing-Space Magnetic Particle Imaging

In this article, we propose a novel approach of mixing-space magnetic particle imaging (MPI) based on the combination of the spatial domain and frequency domain. For 2-D MPI, the superparamagnetic iron oxide nanoparticles (SPIONs) spectra are measured for frequency-domain reconstruction in the x-direction, whereas the SPION spectra in different field-free-point (FFP) positions are used for spatial-domain reconstruction in the y-direction. The system matrix is formulated with the SPION spectra in different x positions along the x-direction and different FFP positions along the y-direction, thus allowing to deblur the SPION image in both x- and y-directions. A 2-D MPI system is designed and built to generate a drive field in the x-direction and a shift field in the y-direction, as well as to measure the SPION spectra. Phantom experiments of two spots demonstrate that the proposed approach allows for spatial resolutions of 0.3 mm in the x-direction and 0.8 mm in the y-direction at 1.14 T/m. The SPION samples with different iron concentrations are used to assess the limit of detection (LOD), showing an LOD of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.04~\mu $ </tex-math></inline-formula>g (Fe)/mL (104 ng Fe weight) using Perimag SPIONs. The proposed mixing-space MPI approach significantly reduces both the hardware complexity and the processing time for system matrix measurement but still yields good spatial resolution.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2024-11-18
DOI
https://doi.org/10.1109/tim.2024.3500075
Citations
8
Primary Topic
Characterization and Applications of Magnetic Nanoparticles
Type
article
Field-Weighted Citation Impact
1.48

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article

Mixing-Space Magnetic Particle Imaging

Shijie Sun, Rui Zhang, Mahmoud Meribout, Lijun Xu et al.
8 citations
IEEE Transactions on Instrumentation and Measurement
Characterization and Applications of Magnetic Nanoparticles
1.48
article

Mixing-Space Magnetic Particle Imaging

Shijie Sun, Rui Zhang, Mahmoud Meribout, Lijun Xu, Jing Zhong, Shaoqi Sun
article en
8 citations

Abstract

In this article, we propose a novel approach of mixing-space magnetic particle imaging (MPI) based on the combination of the spatial domain and frequency domain. For 2-D MPI, the superparamagnetic iron oxide nanoparticles (SPIONs) spectra are measured for frequency-domain reconstruction in the x-direction, whereas the SPION spectra in different field-free-point (FFP) positions are used for spatial-domain reconstruction in the y-direction. The system matrix is formulated with the SPION spectra in different x positions along the x-direction and different FFP positions along the y-direction, thus allowing to deblur the SPION image in both x- and y-directions. A 2-D MPI system is designed and built to generate a drive field in the x-direction and a shift field in the y-direction, as well as to measure the SPION spectra. Phantom experiments of two spots demonstrate that the proposed approach allows for spatial resolutions of 0.3 mm in the x-direction and 0.8 mm in the y-direction at 1.14 T/m. The SPION samples with different iron concentrations are used to assess the limit of detection (LOD), showing an LOD of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.04~\mu $ </tex-math></inline-formula>g (Fe)/mL (104 ng Fe weight) using Perimag SPIONs. The proposed mixing-space MPI approach significantly reduces both the hardware complexity and the processing time for system matrix measurement but still yields good spatial resolution.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Khalifa University of Science and Technology (AE), Beihang University (CN)
National Natural Science Foundation of China, Beijing Municipal Natural Science Foundation, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Characterization and Applications of Magnetic Nanoparticles
1.48
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