MR Navigator Volume Partial-Volume Weighting for Motion Correction
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Solution Overview
Problem
Existing magnetic resonance (MR) examination techniques face challenges in prospective motion correction, particularly when regions in the navigator volume have low contrast or residual magnetization, leading to difficulties in detecting motion parameters and maintaining image quality.
Innovation Solution
The method involves subdividing the navigator volume into partial volumes and weighting them differently during comparison with the navigator reference signal, allowing regions with low contrast or residual magnetization to be excluded from motion information determination, thereby improving motion correction accuracy and reducing measurement time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the navigator volume is used for motion detection, then prospective motion correction is enabled, but regions with low contrast or residual magnetization cause registration difficulties and reduce measurement precision
Solution Approach 1:
The navigator volume is divided into multiple partial volumes, and each partial volume is evaluated individually for its suitability for motion detection. This segmentation allows the system to identify and exclude problematic regions (those with low contrast or residual magnetization) while still utilizing suitable regions for accurate motion parameter detection.
Solution Approach 2:
Different weightings are assigned to different partial volumes based on their local quality characteristics. Partial volumes with good contrast and no residual magnetization receive higher weightings, while problematic regions receive lower weightings or are excluded entirely. This local quality assessment ensures that motion detection is performed primarily on high-quality data.
2Quantity of substance
If all regions in the navigator volume are used for motion detection, then more data is available for registration, but regions with residual magnetization degrade image quality and reduce motion detection accuracy
Solution Approach 1:
The system dynamically changes the weighting parameters for different partial volumes based on their signal quality characteristics. By adjusting these weightings, the system optimizes the contribution of each region to the motion detection process, maximizing the use of high-quality data while minimizing the impact of low-quality regions.
3Reliability
If navigator signals are recorded continuously, then motion correction can be maintained throughout the scan, but recording time increases and productivity decreases
Solution Approach 1:
Instead of uniformly processing all navigator volume data, the system applies partial action by selectively using only the high-quality partial volumes for motion detection. This reduces the processing burden and effective recording time required while maintaining reliable motion correction through the use of sufficient (though not exhaustive) data from optimal regions.
Data Source
AI summary
A method for creating a magnetic resonance (MR) image with prospective motion correction with a recording of navigation signals and navigator reference signals for the determination of motion information is provided. During the determination of the motion information, the partial volumes of the navigator volume are not all treated equally. Different weightings are used.