Active Noise Cancellation in MRI Systems Using Sequence-Specific Anti-Noise
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Solution Overview
Problem
Medical imaging systems, such as MRI systems, generate noise that can cause discomfort to patients and hinder the timely detection of alarms during emergencies due to the complex open sound field and wide frequency band noise, making existing active noise reduction technologies ineffective.
Innovation Solution
A method and system that determine an imaging sequence for a subject, generate noise reduction data based on historical noise patterns, and produce a second noise to interfere with the first noise, using a database and a generation device like a headset, adjustable based on the subject's position, to reduce noise effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If active noise reduction technology is used in medical imaging systems, then noise levels may be reduced, but the technology is ineffective due to the complex open sound field and wide frequency band noise
Solution Approach 1:
The patent segments the wide frequency band noise into multiple narrow frequency bands using a filter bank. Each frequency band is processed independently with dedicated noise reduction parameters, allowing precise control over different frequency components of the imaging system noise while maintaining effectiveness in the complex open sound field environment
Solution Approach 2:
The system dynamically adjusts noise reduction parameters based on the specific imaging sequence being used. By storing different noise reduction parameter sets corresponding to different imaging sequences in a database, the system adapts to varying noise characteristics, improving reliability across different operational modes
2Measurement precision
If noise reduction data is stored in a database for different imaging sequences, then noise reduction precision is improved, but device complexity increases
Solution Approach 1:
The system pre-collects and stores noise reduction parameters in a database before actual imaging operations. By preparing noise reduction data in advance for different imaging sequences and storing them organized by sequence type, the system achieves high precision noise reduction without requiring complex real-time processing during imaging
Solution Approach 2:
The patent creates simplified representations of complex noise patterns by storing noise reduction parameters rather than full noise signals. This copying approach captures essential noise characteristics in a compact format, reducing memory requirements and simplifying the system while maintaining noise reduction precision
3Object-affected harmful factors
If a generation device like a headset is used to produce anti-noise, then noise reduction effectiveness is improved, but ease of operation decreases due to position adjustment requirements
Solution Approach 1:
The system dynamically adjusts noise reduction parameters based on the patient's position and the headset's location. By making the noise reduction parameters adaptive rather than fixed, the system maintains effectiveness even when the headset position varies, reducing the need for manual position adjustments and improving ease of operation
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 system effectively reduces noise generated by medical imaging systems, improving patient comfort and enabling timely alarm detection during emergencies by using noise reduction data specific to each imaging sequence.
Implementation Method 1
causing a generation device to produce a second noise based on the noise reduction data. The second noise may be configured to interfere with the first noise to reduce the first noise
Data Source
AI summary
The present disclosure relates to systems and methods for reducing noise in an imaging system. The methods may include determining an imaging sequence for imaging a subject. When imaging the subject based at least on the imaging sequence, the imaging system may generate a first noise. The methods may further include obtaining, based on the imaging sequence, noise reduction data from a database. And the method may also include causing a generation device to produce a second noise based on the noise reduction data. The second noise may be configured to interfere with the first noise to reduce the first noise.