Radial k-space Sampling for MRI Artifact Reduction
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Solution Overview
Problem
Conventional MRI systems face challenges in achieving uniform k-space coverage, leading to non-random and repeatable data acquisition patterns that result in suboptimal image quality due to artifacts in reconstructed images.
Innovation Solution
A system and method for acquiring k-space data using a radial sampling scheme where radial lines are selected in a random and unrepeatable manner, spaced by a baseline angular increment, ensuring uniform coverage and reducing artifacts in reconstructed images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional repeatable data acquisition patterns are used, then the data acquisition process is simple and repeatable, but uniform k-space coverage is not achieved leading to image artifacts
Solution Approach 1:
The patent applies dynamics by transitioning from static, predetermined radial line selection to dynamic random selection. The system randomly selects radial lines during each data acquisition cycle, making the acquisition pattern adaptive and non-repeating. This dynamic approach ensures uniform k-space coverage over time while maintaining systematic spacing (integral multiples of baseline angular increment) to prevent complete randomness that could compromise coverage quality.
2Reliability
If random and unrepeatable radial line selection is used, then uniform k-space coverage is achieved and artifacts are reduced, but the data acquisition pattern becomes complex
Solution Approach 1:
The patent changes the parameter of radial line selection from deterministic to probabilistic. By introducing randomness in radial line selection while maintaining the constraint that successive lines are spaced by integral multiples of baseline angular increment, the system achieves reliable artifact-free imaging. The parameter change from fixed pattern to random pattern with systematic constraints resolves the contradiction between reliability and complexity.
Data Source
AI summary
Systems and methods for generating an image of a subject using a magnetic resonance imaging (MRI) device may be provided. The method may include obtaining a radial sampling scheme including a plurality of radial lines that each pass through a center of k-space. The method may include selecting the plurality of radial lines of the radial sampling scheme. Each of the plurality of radial lines may be selected in a random and unrepeatable manner. The method may include acquiring k-space data along the selected radial lines. The method may include reconstructing at least one image of the subject based on the acquired k-space data.