Absolute Receive Sensitivity Maps for MRI Shading Correction
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Solution Overview
Problem
Magnetic resonance imaging at high field strengths (≥3 T) suffers from image artifacts due to inhomogeneities in the magnetic resonance fields, particularly in the reception sensitivity of coils, which are challenging to correct using relative sensitivity maps, leading to shading artifacts that obscure anatomical details.
Innovation Solution
Determine spatially resolved subject parameters and coil-geometry parameters to simulate and calculate absolute reception sensitivity maps, allowing for improved image reconstruction and correction of shading artifacts in accelerated parallel imaging techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If parallel transmission (pTX) techniques are used to pre-calibrate transmit profiles at high field strengths, then transmit field homogeneity is improved, but device complexity and measurement requirements increase
Solution Approach 1:
The patent performs preliminary calibration to determine transmit sensitivity maps (B1+) before the actual imaging process. This preliminary measurement allows the system to pre-distort RF pulses and compensate for transmit field inhomogeneities, resolving the contradiction by preparing the necessary correction data in advance rather than requiring complex real-time adjustments during imaging
Solution Approach 2:
The patent uses measured transmit sensitivity maps to create feedback loops where the determined B1+ distributions are used to pre-distort subsequent RF pulses. This feedback mechanism allows the system to automatically compensate for transmit field inhomogeneities without requiring manual adjustment or increased hardware complexity
2Ease of manufacture
If relative reception sensitivity maps are used for image reconstruction, then processing simplicity is maintained, but image quality deteriorates due to shading artifacts
Solution Approach 1:
The patent performs preliminary determination of absolute reception sensitivity maps (B1-) using measured subject parameters and coil geometry. This preliminary characterization of receive sensitivity allows the system to compensate for shading artifacts during image reconstruction while maintaining relatively simple processing algorithms, thus resolving the contradiction between processing simplicity and image quality
Solution Approach 2:
The patent transforms the approach from using relative sensitivity ratios to using absolute sensitivity values derived from electromagnetic parameter measurements. By changing the parameter basis from relative to absolute measurements incorporating tissue conductivity and permittivity, the system achieves accurate shading correction without proportionally increasing processing complexity
3Measurement precision
If electromagnetic parameter measurements are performed to determine absolute sensitivity maps, then reception sensitivity accuracy is improved, but measurement time and processing complexity increase
Solution Approach 1:
The patent uses a unified electromagnetic simulation approach that simultaneously determines both transmit (B1+) and receive (B1-) sensitivity maps from the same set of measured electromagnetic parameters and coil geometry data. This multi-functional approach allows the system to obtain both sensitivity maps in a single measurement and simulation process, resolving the contradiction by eliminating the need for separate measurement sequences
Solution Approach 2:
The patent uses numerical electromagnetic simulation to create virtual models of the RF field distributions based on measured subject parameters. Instead of performing separate physical measurements for each sensitivity map, the system creates computational copies of the electromagnetic fields through simulation, significantly reducing measurement time while maintaining accuracy
4Measurement precision
If high field strength (≥3 T) is used for magnetic resonance imaging, then signal-to-noise ratio is improved, but image artifacts increase due to dielectric effects
Solution Approach 1:
The patent measures and incorporates subject-specific electromagnetic parameters (conductivity σ and permittivity ε) into the imaging process. By using these measured parameters to simulate and correct for dielectric effects at high field strengths, the system maintains the signal-to-noise ratio benefits of high field while compensating for the associated shading artifacts through parameter-based correction
Solution Approach 2:
The patent replaces physical hardware modifications with computational correction methods. Instead of modifying coil designs or adding physical shielding to address dielectric effects, the system uses numerical simulation and algorithmic correction based on measured electromagnetic parameters, effectively substituting computational processing for mechanical solutions
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 provides accurate absolute reception sensitivity maps, significantly enhancing image quality by eliminating shading artifacts and enabling reliable diagnostic assessments, even at high magnetic field strengths.
Implementation Method 1
magnetic resonance apparatus having a basic magnetic field strength of at least 3 T
Implementation Method 2
the electromagnetic properties of human tissue affect the ultimate distribution of the RF fields inside the body, which results in the inhomogeneity side-effects in magnetic resonance imaging
Data Source
AI summary
In a method and magnetic resonance apparatus for determining absolute three-dimensional reception sensitivity maps for reception coils in a scanner of the magnetic resonance, in particular a scanner having a basic magnetic field strength of at least 3 T, in the presence of a subject under examination that affects the reception sensitivity, spatially resolved subject parameters are determined, which specify electromagnetic properties of the subject under examination, and coil-geometry parameters are determined, which specify the spatial arrangement of the reception coils in the magnetic resonance scanner. The reception sensitivity maps are determined by simulation in a model specified by the subject parameters and the coil-geometry parameters.

