RF Coil Array Segmentation for MRI Noise Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Magnetic resonance imaging (MRI) systems face challenges in selecting the most sensitive radio-frequency (RF) coil elements effectively, leading to suboptimal image quality due to noise from coil elements outside the region of interest and inefficient use of coil arrays during scans.
Innovation Solution
The method involves grouping RF coil elements into receive element groups (REGs) based on sensitivity maps generated from calibration data, automatically determining the orientation of the RF coil array, and selectively activating only the REGs that overlap with the region of interest to improve signal-to-noise ratio during imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If all RF coil elements are activated during MRI scanning, then complete coverage of the imaging area is achieved, but noise increases due to coil elements outside the region of interest
Solution Approach 1:
The patent segments the RF coil array into multiple receive element groups (REGs), where each REG contains a subset of coil elements. This segmentation allows selective activation of only those REGs that overlap with the region of interest, thereby reducing noise from inactive coil elements while maintaining coverage where needed.
Solution Approach 2:
The patent applies local quality by making different REGs selectable or non-selectable based on their spatial overlap with the region of interest. REG sensitivity maps are generated to identify which REGs should be active in specific local areas, allowing the system to optimize noise reduction and coverage locally rather than uniformly across the entire array.
2Ease of operation
If manual selection of RF coil elements is performed, then operator control over coil configuration is maximized, but the process becomes time-consuming and complex
Solution Approach 1:
The patent performs preliminary actions by automatically generating REG sensitivity maps and determining optimal REG selections based on the imaging protocol and anatomy before the actual scan begins. This preliminary automated configuration eliminates the need for time-consuming manual coil element selection during the scanning process.
Solution Approach 2:
The system performs self-service by automatically selecting and configuring the appropriate REGs based on pre-defined criteria and sensitivity maps, without requiring manual intervention from the operator. The system autonomously optimizes coil element selection based on the imaging parameters and anatomical region being scanned.
3Reliability
If REG sensitivity maps are generated for all possible REG configurations, then comprehensive coil selection data is available, but data processing complexity and memory requirements increase
Solution Approach 1:
The patent segments the large dataset of sensitivity maps into smaller, manageable REG-specific maps. Instead of processing one massive configuration file, the system divides sensitivity information into individual REG maps that can be processed and stored separately, reducing overall computational complexity and memory requirements.
Solution Approach 2:
The patent applies partial action by generating and storing sensitivity maps only for the REGs that are likely to be needed based on the imaging protocol and anatomy, rather than computing all possible REG configurations. This selective approach reduces data processing requirements while maintaining sufficient accuracy for the specific imaging task.
Data Source
AI summary
Various methods and systems are provided for selecting coil elements of a plurality of coil elements of a radio frequency (RF) coil array for use in a magnetic resonance imaging (MRI) system. In one example, a method includes grouping the plurality of coil elements into receive elements groups (REGs) according to REGs information, generating channel sensitivity maps for the plurality of coil elements, generating REG sensitivity maps based on the REGs information and the channel sensitivity maps, labeling each REG as either selectable or not selectable based on the REG sensitivity maps, selecting one or more REGs from the selectable REGs based on the REG sensitivity maps and a region of interest (ROI), and scanning the ROI with the coil elements in the one or more selected REGs being activated and the coil elements not in any selected the other REGs being deactivated.