MRI Frequency Offset Selection from Scout Image Spectrum Analysis
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Solution Overview
Problem
Existing methods for selecting a frequency offset in MRI scans, particularly for SSFP or bSSFP pulse sequences, are time-consuming, prone to errors, and require expert intervention, leading to inefficiencies in reducing banding and flow-related artifacts.
Innovation Solution
A computer-implemented method that automatically determines an optimal frequency offset by obtaining multiple MRI images from frequency scout measurements, calculating similarity measures based on spectrum information, and selecting the offset to minimize artifacts using a computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual inspection of frequency scout images is used to select frequency offset, then expert judgment can identify optimal offset, but the process is time-consuming and expensive
Solution Approach 1:
The system performs automatic frequency offset selection using algorithmic analysis of frequency scout images, eliminating the need for manual expert inspection. The computer-implemented method autonomously determines the optimal frequency offset by processing spectral information and comparing images, thereby resolving the contradiction between maintaining high selection accuracy and reducing time loss.
2Measurement precision
If manual visual inspection of frequency scout images is used to select frequency offset, then expert judgment can identify optimal offset, but the process is prone to errors
Solution Approach 1:
The patent replaces the manual mechanical process of visual inspection with an automated computational system. The computer-implemented method uses algorithmic processing of frequency scout images and spectral analysis to objectively determine the optimal frequency offset, eliminating human error and variability while maintaining or improving selection accuracy and consistency.
3Manufacturing precision
If frequency scout measurements with multiple frequency offsets are performed, then optimal frequency offset can be determined, but the scanning time increases
Solution Approach 1:
The system performs frequency scout measurements across multiple frequency offsets to ensure optimal image quality, then uses efficient automated processing to quickly analyze the results and select the best offset. This approach maintains high image quality standards while minimizing the overall time penalty through streamlined computational analysis.
Data Source
AI summary
A frequency offset is selected based on similarity measures of multiple MRI images obtained from frequency scout measurements associated with multiple frequency offsets from a reference frequency of a magnetization excitation pulse. The similarity measure for each respective MRI image of the multiple MRI images is determined based on a comparison between at least one reference image and the respective MRI image. The at least one reference image is determined from the multiple MRI images based on spectrum information of each of the multiple MRI images. Such methods facilitate automatically determining/selecting a more optimal frequency offset for an MRI scan following a frequency scout scan, in particular, for an SSFP or a bSSFP pulse sequence, and thereby banding artifacts and/or flow-related artifacts can be reduced for the MRI scan.