Shared Receiving Coil Calibration Matrix for MRI Image Reconstruction
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Solution Overview
Problem
In magnetic resonance imaging (MRI) systems, the existing parallel imaging techniques require separate calculation of a receiving coil calibration matrix for each scan protocol, leading to significant computational burden and reduced working efficiency.
Innovation Solution
The method involves performing multiple magnetic resonance scans using multiple scan protocols and acquiring data with multiple receiving coils, reconstructing images using a shared receiving coil calibration matrix across multiple data sets, thereby reducing the need for repeated calibration matrix calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a receiving coil calibration matrix is calculated for every scan protocol, then the image reconstruction accuracy is improved, but the computational burden increases significantly and working efficiency is reduced
Solution Approach 1:
The patent performs a calibration scan once to pre-calculate the receiving coil calibration matrix before actual imaging scans. This preliminary calibration data is then reused across multiple scan protocols, eliminating the need to recalculate the calibration matrix for each protocol while maintaining reconstruction accuracy.
Solution Approach 2:
The calibration matrix obtained from a single calibration scan is made universal and applicable across multiple different scan protocols. Instead of creating protocol-specific calibration matrices, the same calibration data serves multiple imaging functions, reducing redundant calculations.
2Measurement precision
If multiple calibration scans are performed for multiple scan protocols, then the calibration accuracy for each protocol is improved, but the scan time increases
Solution Approach 1:
A single calibration scan is performed in advance as a preliminary step before actual imaging. This one-time calibration process provides accurate coil sensitivity information that is then reused across all subsequent scan protocols, eliminating the need for repeated calibration scans and significantly reducing total scan time.
Solution Approach 2:
The patent merges the calibration process into a single unified step rather than performing separate calibration scans for each protocol. The calibration data obtained from one scan is combined and applied to multiple protocols, reducing the overall calibration time required.
3Manufacturing precision
If separate calibration matrices are calculated for multiple data sets, then the reconstruction quality for each data set is improved, but the computational complexity increases
Solution Approach 1:
The calibration matrix is made universal across multiple data sets and scan protocols. A single calibration matrix calculated from reference data is applied to reconstruct images from all acquired data sets, eliminating the computational complexity of calculating separate calibration matrices while maintaining reconstruction quality.
Solution Approach 2:
Instead of recalculating calibration matrices for each data set, the patent uses a copied version of the original calibration matrix across all reconstructions. This copying approach maintains consistency and quality while dramatically reducing computational requirements.
Data Source
AI summary
In an image reconstruction method and device for a magnetic resonance imaging system, a magnetic resonance scan is performed at least one scan position according to at least one scan protocol, to acquire at least a set of one scan protocol simultaneously acquired data. At least one magnetic resonance image is reconstructed based on the set of scan protocol simultaneously acquired data and a shared receiving coil calibration matrix. By sharing the receiving coil calibration matrix in different parallel scan processing operations, the amount of work is significantly reduced while improving working efficiency, and imaging quality can also be significantly improved in the case of scan sequences with echo chain acquisition.