Noise Decorrelation Matrix for MR Signal Channels
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Solution Overview
Problem
Current noise decorrelation methods for magnetic resonance (MR) measurement signals from multiple detectors are arbitrary, leading to undesirable sensitivity distributions and phase variations in decorrelated channels, which can result in suboptimal MR image quality and longer reconstruction times.
Innovation Solution
A method is developed to determine an optimized noise decorrelation matrix using noise and reference signals, which minimizes distortion and preserves the original channel properties, allowing for improved noise decorrelation that maintains similar sensitivity distributions and phase characteristics, enabling better MR image quality and shorter reconstruction times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an arbitrary noise decorrelation matrix is chosen, then noise decorrelation is achieved, but the sensitivity distributions and phase characteristics of the decorrelated channels deviate from the original channels
Solution Approach 1:
The patent changes the parameters used to define the noise decorrelation matrix by incorporating reference signals that characterize the original channel properties. Instead of using arbitrary or purely noise-based matrices, the solution modifies the matrix construction to include reference signal information, thereby preserving sensitivity distributions and phase characteristics while achieving noise decorrelation.
2Reliability
If noise decorrelation is performed using conventional methods, then noise correlation is removed, but additional processing steps are required to compensate for undesirable channel properties
Solution Approach 1:
The patent performs preliminary action by incorporating reference signal characterization into the noise decorrelation matrix construction process itself. By pre-integrating the reference signal information into the matrix design, the method eliminates the need for subsequent compensation steps that would otherwise be required to correct distorted sensitivity distributions and phase characteristics.
3Measurement precision
If a standard noise decorrelation matrix is used, then noise whitening is achieved, but the decorrelated channels may have strongly varying phase and sensitivity distributions
Solution Approach 1:
The patent implements feedback by using reference signals that capture the original channel properties and feeding this information back into the noise decorrelation matrix construction. This feedback mechanism ensures that the decorrelation process continuously references the original channel characteristics, thereby maintaining stability in sensitivity distributions and phase characteristics while achieving noise whitening.
Data Source
AI summary
In a method and apparatus for noise decorrelation of magnetic resonance (MR) measurement signals acquired by multiple detectors of an MR apparatus, which are disturbed by additive noise, noise signals and reference signals of the multiple detectors are used to determine an improved noise decorrelation matrix, which removes a noise correlation in the MR measurement signals of the multiple detectors.