Projected System Matrix for Real-Time MPI Reconstruction
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Solution Overview
Problem
Current magnetic particle imaging (MPI) methods require long recording times and high computational resources for image reconstruction, making real-time image projection challenging due to the complexity of the system matrix and the need for extensive calibration processes.
Innovation Solution
The method involves projecting the system matrix along a specific direction before reconstruction, generating a projected system matrix that reduces computational requirements, allowing for faster and more efficient MPI image data reconstruction and real-time image representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a full system matrix is used for MPI image reconstruction, then manufacturing precision and measurement precision are improved, but productivity and loss of time worsen due to computationally expensive reconstruction processes
Solution Approach 1:
The system matrix is segmented into a first portion and a second portion. The first portion contains system response data for a first particle class, while the second portion contains system response data for a second particle class. This segmentation allows selective application of portions based on the particle class being imaged, reducing unnecessary computational load while maintaining precision for the relevant particle type.
Solution Approach 2:
The patent extracts and removes the second portion of the system matrix when imaging particles of the first particle class. By taking out only the necessary first portion corresponding to the first particle class, the computational complexity is reduced without affecting the precision of images for that specific particle type, thus improving reconstruction speed.
2Measurement precision
If a full system matrix is used for MPI image reconstruction, then measurement precision is improved, but loss of time worsens due to extensive calibration processes
Solution Approach 1:
The system matrix is segmented into particle-class-specific portions. Calibration can be performed separately for each particle class, and only the relevant calibrated portion needs to be applied during imaging. This reduces the time required for calibration and reconstruction while maintaining measurement precision for each particle type.
Solution Approach 2:
The system matrix portions are pre-calibrated and stored separately for different particle classes. This preliminary action allows the calibration work to be done in advance, so that during actual imaging, only the pre-prepared relevant portion needs to be applied, significantly reducing the time loss during the imaging process while maintaining measurement precision.
3Manufacturing precision
If the entire system matrix is processed, then manufacturing precision is improved, but device complexity increases due to handling large system matrices
Solution Approach 1:
The system matrix is segmented into smaller, particle-class-specific portions. This reduces the complexity of handling and processing the system matrix during imaging, as only the relevant smaller portion corresponding to the imaged particle class needs to be processed, while maintaining the precision benefits of having a comprehensive system matrix.
Solution Approach 2:
The patent extracts and removes unnecessary portions of the system matrix that correspond to particle classes not being imaged. This taking out approach reduces device complexity by eliminating redundant data processing steps while preserving the precision needed for the actual imaging task.
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
This approach significantly minimizes computational time and resources needed for image reconstruction, enabling the generation of high-quality MPI projection images in real-time with improved signal-to-noise ratio, suitable for applications like catheter insertion.
Implementation Method 1
A spatially dependent magnetic field with a field-free region is applied in the case of magnetic particle imaging (MPI) measurements
Implementation Method 2
Signal responses of the magnetic particles are measured as MPI signal data
Data Source
AI summary
A method for establishing a local concentration distribution of magnetic particles of at least one particle class within an examination volume or a variable derived from this concentration distribution. The method includes providing at least one system matrix, providing MPI signal data of at least one sample including magnetic particles of at least one particle class within a measurement volume, and reconstructing spatially resolved MPI image data from the provided MPI signal data. At least one spatial projection of at least one part of the system matrix is carried out along a projection direction and a projected system matrix is generated thereby. The reconstruction of the MPI image data is implemented with the at least partly projected system matrix, as a result of which MPI image data of a spatial projection of the local concentration distribution of the magnetic particles are produced along the projection direction.