MRI Coil Circuit Optimization for B1+ Homogeneity

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Solution Overview

Problem

Current MRI systems face challenges with electromagnetic coupling and B1+ homogeneity, particularly at high field strengths, leading to inefficiencies in RF power distribution and increased specific absorption rate (SAR), which are not adequately addressed by existing decoupling methods and simulation tools.

Innovation Solution

A method and system for optimizing a multi-coil MRI system using a closed-form S-parameter matrix that accounts for matching and decoupling circuits, along with a hybrid circuit-spatial domain analysis, to iteratively adjust circuit values and minimize a cost function, ensuring B1+ homogeneity and efficient power distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If decoupling methods are used to reduce electromagnetic coupling, then electromagnetic coupling is reduced, but B1+ homogeneity deteriorates

Engineering Contradiction:
Improveelectromagnetic couplingVSAvoidB1+ homogeneity
Core Design Contradiction:
Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The patent optimizes circuit parameters (capacitor values, inductor values, resistor values) of decoupling networks to simultaneously reduce electromagnetic coupling and maintain B1+ homogeneity. The cost function explicitly includes both S-parameter-based coupling metrics and B1+ homogeneity metrics, allowing the optimization algorithm to find parameter sets that balance both requirements.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent employs iterative optimization that dynamically adjusts circuit parameters based on feedback from electromagnetic simulations. The process repeatedly updates capacitor, inductor, and resistor values until convergence, allowing the system to adaptively find the optimal balance between decoupling performance and B1+ homogeneity for different coil configurations and operating conditions.

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If RF shimming is applied to improve B1+ homogeneity, then B1+ homogeneity is improved, but power efficiency deteriorates

Engineering Contradiction:
ImproveB1+ homogeneityVSAvoidpower efficiency
Core Design Contradiction:
Manufacturing precisionVSLoss of energy

Solution Approach 1:

The patent optimizes the parameters of RF shimming circuits (variable capacitors, inductors, resistors) to achieve the desired B1+ homogeneity while minimizing power loss. The cost function includes a power efficiency term that penalizes excessive power consumption, guiding the optimization toward solutions that balance homogeneity improvement with acceptable power efficiency.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies RF shimming circuits locally at specific coil elements where B1+ inhomogeneity is most problematic. By placing tunable matching and decoupling circuits at strategic locations, the system achieves localized field correction without requiring global power increases, thereby maintaining overall power efficiency.

Inventive Principle:
Principle #3Local quality

3Power

If multi-channel transmission coils are used to improve power distribution, then power distribution is improved, but electromagnetic coupling increases

Engineering Contradiction:
Improvepower distributionVSAvoidelectromagnetic coupling
Core Design Contradiction:
PowerVSObject-affected harmful factors

Solution Approach 1:

The patent divides the transmit coil system into multiple independently controllable channels, each with its own matching and decoupling circuits. This segmentation allows independent optimization of each channel's power distribution while using the decoupling networks to manage inter-channel electromagnetic coupling, achieving both improved power distribution and reduced coupling.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces decoupling networks as intermediary circuits between multi-channel transmission coils. These networks act as mediators that reduce electromagnetic coupling between channels while allowing each channel to maintain its power distribution capabilities, effectively decoupling the harmful interactions while preserving the beneficial power distribution.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Manufacturing precision

If hybrid circuit-spatial domain analysis is used to optimize coil performance, then B1+ homogeneity is improved, but computational complexity increases

Engineering Contradiction:
ImproveB1+ homogeneityVSAvoidcomputational complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent employs iterative optimization that dynamically adjusts circuit parameters based on feedback from electromagnetic simulations. The process repeatedly updates capacitor, inductor, and resistor values until convergence, allowing the system to adaptively find the optimal balance between decoupling performance and B1+ homogeneity for different coil configurations and operating conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent uses a cost function that provides feedback on both S-parameter-based coupling metrics and B1+ homogeneity metrics. This feedback guides the optimization algorithm to adjust circuit parameters in directions that simultaneously reduce electromagnetic coupling and improve B1+ homogeneity, making the complex hybrid analysis tractable through goal-directed search.

Inventive Principle:
Principle #23Feedback

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 approach results in improved B1+ homogeneity by 28.4% with a small decline in power efficiency, achieving consistent S-parameters and component values that match in vivo data, demonstrating effective RF shimming and decoupling in MRI systems.

Implementation Method 1

A magnetic resonance imaging (MRI) system with a multi-channel transmit coil... drive circuit for driving the two or more coils

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

One challenge with such multi-channel transmission coils is EM coupling. It is well known to characterize this electromagnetic coupling by an S-parameter

Methodology Applied
Scientific EffectElectromagnetic coupling:

Implementation Method 3

In order to achieve better homogeneity, RF shimming is a common technique, where amplitude and phase of excitation signals are adjusted for a given ROI

Methodology Applied
Scientific EffectRF shimming:

Implementation Method 4

Recent regulatory clearance for clinical use of 7 Tesla MRI (7T MRI) has led to increased interest in clinical ultra-high field (UHF) applications. However, to robustly achieve the expected increase in signal to noise ratio associated with UHF MRI systems, the RF challenges need to be met, namely, problems with higher RF power, worse B1+ homogeneity, and increased tissue conductivity but decreased permittivity at higher frequency, all of which usually results in increased specific absorption rate (SAR)

Methodology Applied
Scientific EffectSpecific absorption rate:

Data Source

PatentUS12111378B2Hybrid spatial and circuit optimization for targeted performance of MRI coils
Publication Date: 2024.10.08 PURDUE RES FOUND
  • US12111378B2 patent drawing
  • US12111378B2 patent drawing
  • US12111378B2 patent drawing

AI summary

A method of operating a multi-coil magnetic resonance imaging system is disclosed which includes a controller performing a simulation using a predefined tissue model, determining output values of a variable of interest (VOI) associated with operation of two or more coils of an MRI system based on the simulation, comparing the simulated output values of the VOI to an a priori target values of the VOI, if the simulated output values of the VOI are outside of a predetermined envelope about the a priori target values of the VOI, then performing an optimization, wherein the optimization includes iteratively adjusting the circuit values until the simulated output values of the VOI are within the predetermined envelope about the a priori target values of the VOI thereby establishing VOI optimized values, and loading the established VOI optimized values and operating the magnetic resonance imaging system on the tissue to be imaged.