MRI Channel Weighting for Blood Flow and Motion Artifact Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing MRI techniques using multi-channel reception coils fail to effectively suppress blood flow and body movement artifacts, necessitating re-imaging and deteriorating examination efficiency, without user designation of artifact regions.
Innovation Solution
An MRI apparatus and method that automatically specifies organs prone to artifacts using positioning images, calculates channel weights based on these regions, and performs weighted reconstruction to reduce artifact contamination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If channel selection is performed manually by designating signal acquisition region and selecting reception coils, then artifact suppression can be achieved, but user operation complexity increases and examination efficiency deteriorates
Solution Approach 1:
The system automatically specifies organs prone to artifacts and calculates channel weights without user intervention. The body movement-occurring organ specifying unit identifies organs from positioning images, and the weighting amount calculation unit automatically determines optimal channel weights, enabling the system to serve itself rather than requiring manual user configuration.
Solution Approach 2:
The system performs artifact suppression preparation in advance by specifying organs prone to artifacts and calculating channel weights before actual image reconstruction. This preliminary automated setup eliminates the need for users to perform these operations manually during the examination process.
2Productivity
If all channels are used for image reconstruction, then imaging speed is maintained, but artifact contamination increases and image quality deteriorates
Solution Approach 1:
The system dynamically changes the weighting parameter for each channel based on the specified organs and artifact characteristics. By adjusting the weight values assigned to different channels, the system optimizes the balance between maintaining imaging speed and reducing artifact contamination in the reconstructed image.
Solution Approach 2:
Different weight values are assigned to different channels based on their individual characteristics and the specific organs being imaged. This localized quality adjustment allows each channel to contribute optimally to the final image, suppressing artifacts from specific regions while maintaining overall imaging efficiency.
3Manufacturing precision
If re-imaging is performed to eliminate artifacts, then image quality improves, but examination time increases and productivity decreases
Solution Approach 1:
The system uses positioning images to specify organs prone to artifacts and provides feedback to the weighting calculation unit, which then adjusts channel weights accordingly. This feedback mechanism enables real-time artifact suppression during the examination process, eliminating the need for time-consuming re-imaging while maintaining high image quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces the need for user intervention in channel selection, improves image quality by minimizing artifacts, and enhances diagnostic performance by automating artifact suppression.
Implementation Method 1
a reception coil, which has a plurality of channels, detecting a nuclear magnetic resonance signal generated by a subject
Data Source
AI summary
Provided is a weighted reconstruction technique of a channel for suppressing a blood flow artifact and a body movement artifact in imaging using a multi-channel reception coil. In a case of reconstructing an image of a subject by using a nuclear magnetic resonance signal collected by each of a plurality of channels of a reception coil, by using a positioning image, an organ or a region causing a blood flow artifact and a body movement artifact in the subject is specified, a weight of each channel is decided by using information on the specified organ or region, and weighted reconstruction is performed by using the weight.