MRI Coil Signal Separation for Electromagnetic Interference Removal
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods struggle to effectively eliminate electromagnetic interference in magnetic resonance imaging due to changing coupling relationships between subjects, environments, and receiving coils, leading to inaccuracies in interference elimination and image quality.
Innovation Solution
An imaging device and method utilizing a receiving coil and sensing coils to acquire electromagnetic interference signals, construct an electromagnetic interference eliminating model with a residual U-Net structure, and perform image reconstruction to obtain artifact-free images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional electromagnetic interference elimination methods are used, then the system structure remains simple, but the image quality deteriorates due to ineffective interference elimination when coupling relationships change
Solution Approach 1:
The patent introduces sensing coils as intermediary elements that specifically detect electromagnetic interference signals. These sensing coils act as mediators between the electromagnetic interference sources and the receiving coil, enabling the system to identify and eliminate interference without requiring complex structural modifications to the entire MRI system.
Solution Approach 2:
The patent segments the coil system into functionally distinct components: receiving coils for capturing magnetic resonance signals and sensing coils for detecting electromagnetic interference. This segmentation allows each coil type to be optimized for its specific function, improving overall system performance without excessive complexity.
2Reliability
If calibration data methods are used, then the initial setup is simple, but the reliability of interference elimination deteriorates when there is inconsistency between calibration data and actual imaging conditions
Solution Approach 1:
The patent transitions from static calibration data to dynamic real-time detection. The sensing coils continuously monitor electromagnetic interference during the imaging process, allowing the system to adapt to changing coupling relationships caused by patient movement or environmental changes, thereby maintaining high reliability without excessive model complexity.
Solution Approach 2:
The system implements feedback by using sensing coil data to inform the interference elimination process. The detected interference signals are fed back into the image reconstruction algorithm, enabling continuous correction and improvement of image quality based on actual measured conditions rather than relying solely on pre-acquired calibration data.
3Object-affected harmful factors
If electromagnetic shielding is implemented, then electromagnetic interference is effectively blocked, but the device complexity and cost increase significantly
Solution Approach 1:
Instead of attempting to block electromagnetic interference through shielding structures, the patent extracts and separately detects the interference signals using sensing coils. By taking the interference component out from the mixed signal and processing it independently, the system eliminates interference without requiring complex shielding infrastructure.
Solution Approach 2:
The patent replaces the mechanical/physical approach of electromagnetic shielding with a signal processing approach. Rather than using physical barriers to block interference, the system uses computational methods to identify and remove interference components from the received signals, significantly reducing structural complexity.
4Adaptability or versatility
If real-time interference detection is implemented, then the adaptability to changing conditions improves, but the data processing complexity increases
Solution Approach 1:
The sensing coils serve multiple functions: they detect electromagnetic interference signals, provide real-time feedback for image reconstruction, and enable adaptation to changing conditions. This multi-functionality achieves high adaptability without proportionally increasing system complexity, as the same hardware components perform multiple tasks.
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
The solution dynamically adapts to changing electromagnetic interference, enhancing image quality by effectively eliminating interference and obtaining clear magnetic resonance images without the need for electromagnetic shielding.
Implementation Method 1
acquiring a first electromagnetic interference signal, by the receiving coil, obtained by measurement in an electromagnetic interference affected environment, and acquiring second electromagnetic interference signals, by the plurality of sensing coils, obtained by measurement in the electromagnetic interference affected environment
Implementation Method 2
taking the interfered imaging signals and corresponding second electromagnetic interference signals as input, taking corresponding magnetic resonance imaging signals as output, and training and obtaining an electromagnetic interference eliminating model
Data Source
AI summary
An imaging device and method of eliminating electromagnetic interference of magnetic resonance are provided. The imaging device includes: means for acquiring magnetic resonance imaging signals, acquiring a first electromagnetic interference signal in an electromagnetic interference affected environment, and acquiring second electromagnetic interference signals in the electromagnetic interference affected environment; means for superposing the magnetic resonance imaging signals with the first electromagnetic interference signal to obtain interfered imaging signals, respectively, taking the interfered imaging signals and corresponding second electromagnetic interference signals as input, taking corresponding magnetic resonance imaging signals as output, and training and obtaining an electromagnetic interference eliminating model; means for inputting a real-time magnetic resonance imaging signal and a real-time electromagnetic interference signal into the electromagnetic interference eliminating model, to obtain a predicted magnetic resonance imaging signal that eliminates electromagnetic interference; means for performing image reconstruction on the predicted magnetic resonance imaging signal to obtain a magnetic resonance image.