Magnetic Resonance PSF Database Lookup for Artifact Reduction
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Solution Overview
Problem
Current magnetic resonance imaging (MRI) systems face challenges in quickly and accurately determining point spread functions (PSFs) due to hardware-specific imperfections, leading to artifacts in image data reconstruction, especially in wave and helical k-space trajectories.
Innovation Solution
A method involving loading a planned k-space trajectory, determining and comparing parameters with baseline values stored in a database to ascertain a suitable PSF for reconstruction, and iteratively refining the PSF based on quality criteria to optimize image data reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PSF determination is performed using conventional methods for wave and helical k-space trajectories, then accurate image reconstruction can be achieved, but the process is time-consuming and complex due to hardware-specific imperfections
Solution Approach 1:
The patent applies preliminary action by pre-determining and storing PSFs in a database for various k-space trajectories and hardware conditions before actual imaging. When a scan is performed, the system retrieves the pre-stored PSF that matches the current trajectory and hardware state, eliminating the need for time-consuming real-time PSF determination while maintaining accuracy
Solution Approach 2:
The system changes parameters by storing PSFs for multiple different k-space trajectory configurations and hardware conditions in the database. By matching current scan parameters with stored parameter sets, the system quickly identifies and retrieves the appropriate PSF without performing complex real-time measurements
2Measurement precision
If PSF determination is performed using conventional methods, then accurate reconstruction can be achieved, but the process becomes complex due to hardware-specific imperfections
Solution Approach 1:
The patent applies preliminary action by pre-determining and storing PSFs in a database for various k-space trajectories and hardware conditions before actual imaging. When a scan is performed, the system retrieves the pre-stored PSF that matches the current trajectory and hardware state, eliminating the need for time-consuming real-time PSF determination while maintaining accuracy
Solution Approach 2:
The system creates copies of PSFs for different hardware configurations and stores them in a database. Instead of performing complex measurements for each new scan, the system copies the appropriate pre-determined PSF from the database that matches the current hardware state, significantly simplifying the process
3Ease of operation
If standard reconstruction methods are used without considering hardware-specific conditions, then the reconstruction process is simpler, but artifacts appear in the image data
Solution Approach 1:
The patent applies preliminary action by pre-determining and storing PSFs in a database for various k-space trajectories and hardware conditions before actual imaging. When a scan is performed, the system retrieves the pre-stored PSF that matches the current trajectory and hardware state, eliminating the need for time-consuming real-time PSF determination while maintaining accuracy
Solution Approach 2:
The patent introduces an intermediary element - a database of pre-determined PSFs - that mediates between the raw scan data and the final reconstructed image. This database serves as a reference that accounts for hardware-specific imperfections, allowing the reconstruction algorithm to correct for artifacts without requiring complex real-time measurements
Data Source
AI summary
Techniques are disclosed for ascertaining a point spread function (PSF) for reconstructing image data from scan data recorded by means of a magnetic resonance system. The techniques include a comparison of values determined for a planned k-space trajectory for parameters characterizing the k-space trajectory with baseline values of the parameters characterizing the k-space trajectory deposited in a database for the magnetic resonance system, in each case together with an associated point spread function PSF to ascertain baseline values of the deposited baseline values that are as similar as possible to the values determined for the planned k-space trajectory for the parameters characterizing the k-space trajectory and, on the basis of this deposited PSF, a PSF to be used for a reconstruction of final image data is ascertained.