MRI RF Interference Removal via Auxiliary Coil Signal Processing
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Solution Overview
Problem
Existing MRI systems face challenges in effectively eliminating radio frequency interference, leading to noise artifacts that hinder clinical diagnosis, and current solutions require additional hardware and increased costs, making them impractical for large-scale implementation.
Innovation Solution
A system comprising multiple coils and a processor that generates data sets to determine an interference removal parameter, which is used to remove radio frequency interference from the data sets, eliminating the need for additional hardware and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If room shielding structure with thick copper plates and notch filters are used, then radio frequency interference is eliminated, but system size and installation cost increase significantly
Solution Approach 1:
The patent extracts and identifies the specific noise sources in the MRI environment using auxiliary coils, then processes only the relevant noise signals through spectral analysis. This selective approach removes harmful RF interference without requiring comprehensive room shielding, thereby reducing system size while maintaining effectiveness.
Solution Approach 2:
The patent replaces the mechanical/physical shielding approach (thick copper plates) with a signal processing approach. By using digital signal processing techniques including spectral analysis and adaptive filtering, the system eliminates RF interference through software-based methods rather than bulky physical barriers.
2Measurement precision
If auxiliary coils with more turns are used to increase noise sensitivity, then noise measurement capability improves, but material cost increases
Solution Approach 1:
The patent changes the approach from increasing physical coil parameters (number of turns) to optimizing signal processing parameters. By using spectral analysis and processing techniques, the system achieves high noise measurement precision without increasing material quantity, thereby reducing material cost while maintaining measurement capability.
3Object-affected harmful factors
If additional hardware components are added for interference elimination, then radio frequency interference is removed, but overall system cost and weight increase
Solution Approach 1:
The patent makes the existing MRI system components perform multiple functions. The auxiliary coils serve both as noise detection sensors and as part of the overall imaging system. The signal processing unit handles both noise analysis and imaging data processing, eliminating the need for separate dedicated hardware and reducing overall system weight.
Solution Approach 2:
The patent replaces additional physical hardware with computational methods. Instead of adding more physical components to eliminate interference, the system uses digital signal processing, spectral analysis, and adaptive filtering algorithms to remove RF interference, thereby avoiding increased system weight.
Data Source
AI summary
The disclosure relates to a system and a method to eliminate noise from imaging data The disclosure provides system comprising a plurality of coils configured to generate one or more data sets and a processor may be configured to receive the data sets from the plurality of coils. The processor may determine an interference removal parameter from the data sets received from the plurality of coils. The interference removal parameter may remove noise from the one or more data sets.