MR Phase Correction via Power Series Approximation
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Solution Overview
Problem
Conventional methods for phase correction in magnetic resonance (MR) data acquisition, particularly in segmented imaging techniques like TSE and EPI, often fail to adequately correct for phase differences between segments, leading to artifacts, especially in regions of low signal intensity and around the examination subject of interest.
Innovation Solution
A method to determine phase correction parameters by analyzing correlations between phase correction data sets, allowing for robust and precise correction of phase differences between segments, using power series approximations and spatial weighting to enhance the accuracy of phase correction, particularly in regions of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional phase correction methods are used in segmented MR data acquisition, then the acquisition process can be completed, but phase differences between segments lead to artifacts and reduced image quality
Solution Approach 1:
The patent applies preliminary action by acquiring phase correction data sets before the actual imaging data acquisition. These phase correction data sets are used to determine phase correction parameters that are then applied to correct the imaging data segments, preventing phase artifacts from occurring in the final image rather than attempting to fix them afterward.
Solution Approach 2:
The patent implements feedback by using the acquired phase correction data sets to calculate phase correction parameters, which are then applied back to the imaging data segments. This closed-loop approach continuously refines the phase correction based on the actual phase differences observed in the correction data, thereby reducing artifacts and improving image quality.
2Measurement precision
If phase correction parameters are determined using conventional methods, then processing can be completed, but correction accuracy is insufficient particularly in low signal intensity regions
Solution Approach 1:
The patent applies parameter changes by determining phase correction parameters based on phase correction data sets acquired with specific pulse sequences and parameters. The method adjusts and optimizes correction parameters such as phase offsets and phase evolution rates based on the characteristics of the phase correction data, thereby improving correction accuracy particularly in low signal intensity regions where conventional methods fail.
Data Source
AI summary
In a magnetic resonance system and operating method to determine phase correction parameters for a phase correction in MR image data, first and second phase correction data sets are thereby acquired and correlations are calculated between data of the second phase correction data set and data of the first phase correction data set. Phase correction parameters are determined, such as coefficients of a power series that approximates a curve of a phase difference between phase curves of the second and first phase correction data sets.