Magnetic Resonance Coil Sensitivity Mapping for High-Field RF Uniformity
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Solution Overview
Problem
The non-uniformity of the radio frequency (RF) field in magnetic resonance (MR) systems, particularly in high magnetic fields, leads to uneven brightness and contrast information in acquired images, affecting image re-processing analysis and segmentation.
Innovation Solution
A method for determining the sensitivity distribution of MR receiving coils by obtaining a reference image with weakened contrast information between tissues, creating a preliminary RF field map, and a transmitting field map to correct the non-uniformity of the RF field, allowing separate correction of receiving and transmitting field non-uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If high magnetic field intensity is used in MR systems, then MR signal strength and imaging capability are improved, but RF field non-uniformity increases causing uneven brightness and contrast in images
Solution Approach 1:
The patent segments the RF field correction into two independent components: transmitting field correction and receiving field correction. By obtaining separate field maps for transmission and reception, the system can correct each component independently, thereby resolving the uniformity issue caused by high magnetic field intensity while maintaining the signal strength benefits.
Solution Approach 2:
The patent changes the approach from attempting uniform RF field generation to measuring and correcting field non-uniformity through parameter mapping. By creating field maps that characterize the actual RF field distribution and using these maps to correct image data, the system compensates for the non-uniformity introduced by high magnetic fields.
2Manufacturing precision
If traditional RF field correction methods are used, then image uniformity is improved, but the complexity of the correction process increases due to inability to separate transmitting and receiving field effects
Solution Approach 1:
The patent divides the complex RF field correction problem into two manageable segments: transmitting field characterization and receiving field sensitivity mapping. By obtaining separate field maps for each component, the system simplifies the correction process while achieving better image uniformity compared to traditional unified correction methods.
Solution Approach 2:
The patent introduces field maps as intermediary data structures that capture the RF field characteristics. These field maps serve as mediators between the physical RF field and the image correction process, enabling systematic correction of both transmitting and receiving field effects without excessive complexity.
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
The method effectively corrects RF field uniformity in high magnetic field MR systems, improving image quality and analysis accuracy.
Implementation Method 1
In a magnetic resonance (MR) system, the distribution of radio frequency (RF) field is uneven
Implementation Method 2
Especially in high magnetic field MR, with the enhancement of MR field intensity, the problem of non-uniformity of RF field becomes more and more serious
Data Source
AI summary
A method for determining a sensitivity distribution of magnetic resonance (MR) receiving coils may include obtaining a reference image of a region of interest (ROI) of a subject. Contrast information between at least two types of tissues of the ROI may be weakened in the reference image. The method may also include determining, based on the reference image, a preliminary radio frequency (RF) field map corresponding to the ROI. The method may also include obtaining a transmitting field map corresponding to the ROI. The method may also include determining, based on the preliminary RF field map and the transmitting map, a sensitivity distribution of MR receiving coils corresponding to the ROI.