MRI Image Reconstruction with Cross-Correlation Phase Correction
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Solution Overview
Problem
The accuracy of combined MRI image data generated from multiple RF receiver coil units is inconsistent, affecting the quality of reconstructed images, necessitating improved MRI data processing systems and methods for higher efficiency and accuracy.
Innovation Solution
A system and method that utilize a cross-correlation algorithm to determine phase shifts between sets of image data and perform phase corrections, using a set of reference image data to generate corrected image data, and ultimately reconstruct high-quality target images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple RF receiver coil units are used to acquire MRI signals, then the signal-to-noise ratio is improved, but phase shift inconsistencies occur between different coil units affecting image quality
Solution Approach 1:
The patent introduces a reference image data set as an intermediary to mediate the phase relationship between multiple coil image data sets. By calculating phase shifts relative to this common reference, the system achieves consistent phase alignment across all coil units while preserving their individual signal advantages, thereby resolving the contradiction between improved signal-to-noise ratio and phase shift consistency
Solution Approach 2:
The patent applies parameter changes by dynamically calculating and adjusting phase shift parameters for each coil unit based on cross-correlation analysis with reference image data. This parameter adjustment process corrects the phase inconsistencies while maintaining the signal intensity benefits of multiple coil units, thus resolving the contradiction between signal-to-noise ratio improvement and phase consistency
2Productivity
If phase correction is performed using traditional methods, then processing speed is maintained, but accuracy of combined image data is insufficient
Solution Approach 1:
The patent implements preliminary action by pre-calculating phase correction parameters using cross-correlation algorithms before final image combination. This preliminary phase alignment step ensures high accuracy in the subsequent image combination process while maintaining efficient processing speed, as the computationally intensive correlation analysis is performed once rather than iteratively during image reconstruction
Data Source
AI summary
A system and method for MRI data processing are provided. A plurality of sets of image data of a subject acquired by a magnetic resonance (MR) scanner and a set of reference image data of the subject may be obtained. For each set of the plurality of sets of image data, a phase shift between the set of reference image data and the set of image data may be determined using a cross-correlation algorithm, and a set of corrected image data of the channel may be obtained by performing a phase correction for the set of image data based on the phase shift. Target image data of the subject may be determined based on the plurality of sets of corrected image data of the subject. A target image of the subject may be generated by image reconstruction based on the target image data of the subject.