Motion correction using navigators between sequential groups of k-space data
WO2025186081A8 Publication Date: 2025-10-02KONINKLIJKE PHILIPS NV
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Patent Information
- Application Number
- PCT/EP2025/055234
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-08
- Filing Date
- 2025-02-26
- Publication Date
- 2025-10-02
AI Technical Summary
Technical Problem
Magnetic resonance imaging (MRI) scans are susceptible to motion artifacts due to subject movement during the prolonged acquisition of k-space data, which can degrade image quality and require repeated scans, increasing costs.
Method used
The method involves grouping k-space data into sequential pairs with duplicated navigator lines, calculating a motion detection metric, and combining groups below a threshold to reconstruct a motion-corrected MRI image using a joint optimization algorithm, reducing scan time and motion artifacts.
Benefits of technology
This approach accelerates MRI reconstruction by minimizing motion artifacts and reducing scan time, improving image quality and efficiency without additional hardware or sequence modifications.
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Abstract
Disclosed herein is a method of medical imaging and an associated medical system. The method comprises: receiving (200) k-space data (114, 114') by subjecting at least a portion of a subject (318) to a magnetic resonance imaging protocol, wherein the k-space data comprises sequential groups (500, 502, 504) defined based on acquisition time of lines of k-space data, wherein navigator lines for one pair of adjacent sequential groups are different from the navigator lines (510, 512, 514) of at least one other pair of adjacent sequential groups; calculating (202) a motion detection metric (116) for the adjacent pairs of the sequential groups using the respective navigator lines of k-space data; combining (204) adjacent pairs of the sequential groups if the respectively calculated motion detection metric is below a predetermined threshold to reform the sequential groups; and reconstructing (206) a motion corrected magnetic resonance image (122) from the reformed sequential groups (118) of k-space data using a joint optimization algorithm (120) that simultaneously provides the motion corrected magnetic resonance image and motion transformations between the reformed sequential groups, and wherein the motion corrected magnetic resonance image is at least partially reconstructed using the navigator lines of k-space data.
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