Motion-Compensated MRI Reconstruction via Iterative k-Space Grouping
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Solution Overview
Problem
Magnetic Resonance Imaging (MRI) is hindered by motion artifacts due to patient movement during scans, which are difficult to suppress, especially in fast MRI techniques, leading to reduced image quality and increased risks for young children and patients with neurological disorders.
Innovation Solution
A computer-implemented method for reconstructing motion-compensated MR images involves receiving k-space data, dividing it into groups, and performing iterative processes to estimate deformation coefficients and reconstruct images, effectively addressing nonrigid motion artifacts without the need for navigators or sedation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fast MRI techniques are used to reduce scan time, then productivity is improved, but motion artifacts increase leading to reduced image quality
Solution Approach 1:
The patent converts the harmful motion artifacts into beneficial information by using them as constraints in a compressed sensing reconstruction algorithm. The motion artifact patterns, which normally degrade image quality, are instead used to guide the iterative reconstruction process to produce motion-corrected images from accelerated k-space data.
Solution Approach 2:
The patent changes the reconstruction parameters by incorporating motion estimation variables and using a multi-parameter optimization approach. It adjusts sampling patterns, iteration counts, and regularization parameters to balance scan speed and image quality, enabling fast scanning without sacrificing diagnostic accuracy.
2Manufacturing precision
If sedation is used to suppress patient movement, then motion artifacts are reduced, but patient safety risks increase and requires additional medical personnel
Solution Approach 1:
The patent enables the imaging system to compensate for motion automatically through algorithmic motion correction. The reconstruction algorithm self-corrects for patient movement by estimating motion fields and incorporating them into the image reconstruction, eliminating the need for external intervention like sedation or respiratory gating.
3Manufacturing precision
If respiratory gating techniques are used to suppress motion effects, then image quality improves, but acquisition efficiency decreases
Solution Approach 1:
The patent performs preliminary motion estimation from the acquired k-space data before final image reconstruction. By estimating motion fields early in the process and incorporating them into the reconstruction algorithm, it eliminates the need for time-consuming respiratory gating during acquisition while maintaining image quality.
Data Source
AI summary
Systems and methods for reconstructing a motion-compensated magnetic resonance image are presented. In certain implementations, a computer-implemented method is provided. The method may include a plurality of operations, including receiving a set of k-space data from a magnetic resonance imaging device, dividing the set of k-space data into a plurality of groups, performing a plurality of initialization operations, performing a first iterative process until a first criteria for the first iterative process is achieved for a current scale of motion estimation, performing a second iterative process until a second criteria for the second iterative process is achieved, and outputting a motion-compensated magnetic resonance image reconstructed in accordance with a predetermined scale of motion estimation.