Multi-Color MPI via Trapezoidal Wave SPIO Quantification
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Solution Overview
Problem
Current magnetic particle imaging (MPI) technologies cannot perform multi-color quantitative imaging, limiting the ability to distinguish and quantify different cells, which is essential for accurate disease diagnosis.
Innovation Solution
A multi-color quantitative magnetic nanoparticle imaging method based on trapezoidal wave excitation, which involves obtaining response voltage signals from SPIO standard products and a sample, gridding and averaging these signals to obtain magnetization curves, solving hysteresis inertia coefficients, and constructing an equation set to determine the quality distribution of different SPIOs, ultimately creating a multi-color quantitative image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If single-particle homochromatic imaging is used, then the imaging system is simple, but it cannot label different cells and thus cannot distinguish locations and quantities of different cells
Solution Approach 1:
The patent segments the imaging process into distinct phases using trapezoidal wave excitation with specific rise time, hold time, and fall time parameters. Different SPIO particles are differentiated by their hysteresis characteristics during specific time windows of the excitation cycle, enabling multi-color imaging while maintaining a relatively simple system architecture.
Solution Approach 2:
The patent changes the temporal parameters of the excitation field (trapezoidal wave with controlled rise time tu, hold time tk, and fall time tf) to exploit the different hysteresis behaviors of various SPIO particles. By adjusting these time parameters and analyzing magnetization responses at different moments, the system can distinguish and quantify multiple particle types without adding complex hardware.
2Measurement precision
If conventional MPI methods are used, then the measurement process is simple, but quantitative calculation of different particles is not possible
Solution Approach 1:
The patent performs preliminary calibration by measuring the hysteresis inertia coefficients of each SPIO standard product before actual imaging. These pre-determined coefficients are stored and used during sample reconstruction, enabling quantitative calculation without requiring complex real-time computation during the actual measurement process.
Solution Approach 2:
The patent uses the measured voltage signals to reconstruct magnetization curves and solve for particle concentrations through an equation set that incorporates hysteresis inertia coefficients. This feedback-based reconstruction process iteratively refines the quantitative analysis by comparing measured signals with expected responses from different particle compositions.
3Loss of information
If multi-color quantitative imaging is implemented, then different cells can be distinguished and quantified, but the reconstruction process becomes complex
Solution Approach 1:
The patent extracts the hysteresis inertia coefficient as a key characteristic parameter that uniquely identifies each SPIO particle type. By focusing reconstruction on this extracted parameter rather than attempting to analyze the entire magnetization curve, the method simplifies the quantitative analysis of multi-color images while preserving essential information about particle locations and quantities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise localization and quantification of multiple SPIOs, enhancing MPI's potential for medical applications and aligning with the needs of precision medicine by allowing for the quantitative calculation of multiple particles.
Implementation Method 1
obtaining response voltage signals of n SPIO standard products under trapezoidal wave excitation
Implementation Method 2
solving hysteresis inertia coefficients of the n SPIO standard products according to an inertial growth relationship between the magnetization curves
Implementation Method 3
a distribution state of the SPIO can be coded and reconstructed according to an induced voltage of a receiving coil
Data Source
AI summary
A multi-color quantitative magnetic nanoparticle imaging method and system based on trapezoidal wave excitation solves the problem that the existing technology cannot implement multi-color quantitative magnetic particle imaging. The method includes: constructing, based on hysteresis effect and hysteresis inertial growth differences of n superparamagnetic iron oxide nanoparticles (SPIOs) under trapezoidal wave excitation, an equation set of quality of n SPIOs in a to-be-tested sample formed by any composition of n SPIO standard products; solving the equation set to obtain the quality distribution of the to-be-tested sample at position r; and performing rearrangement, color assignment, and image merging on the quality distribution to implement multi-color quantitative imaging of various particles in magnetic particle imaging (MPI). The method broadens the functions of MPI to realize multi-color quantitative imaging, such that MPI has greater potential for application in the medical field.