Iterative K-space Processing for MRI Motion Artifact Reduction

The patent creates a universal motion artifact correction method that handles multiple motion types (rigid body, non-rigid body, in-plane, and out-of-plane motions) through a single iterative algorithm. The method uses K-space data processing with combination coefficients that can adapt to different motion scenarios, making it applicable to various body parts including heart and abdomen scans where non-rigid motions occur.

The patent changes parameters iteratively by computing combination coefficients from initial K-space data, generating corrected K-space data through multiple iterations. The combination coefficients and correction factors are adjusted in each iteration based on the current K-space data, allowing the method to adapt to different motion patterns and optimize correction for various motion types.

The patent segments the K-space data processing into distinct steps: obtaining initial K-space data, calculating combination coefficients, generating corrected K-space data, and iterative refinement. This segmentation allows the complex computation to be broken down into manageable stages, making the process more efficient and easier to implement while maintaining high artifact elimination performance.

The patent implements feedback through iterative processing where the corrected K-space data from one iteration becomes the input for the next iteration. The combination coefficients are recalculated based on the updated K-space data, creating a feedback loop that progressively refines the motion artifact correction until convergence or a predetermined number of iterations is reached.