Multi-Channel RF Coil Assembly for MRI SAR Reduction

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Solution Overview

Problem

Current magnetic resonance (MR) imaging technologies face challenges in optimizing RF power deposition and noise management, particularly in reducing specific absorption rate (SAR) during multi-channel parallel RF transmit/receive operations, which can lead to safety concerns and suboptimal imaging performance.

Innovation Solution

The development of a calibration method and multi-channel parallel RF transmit/receive coil assembly that uses predictive SAR models and a constellation coil structure to optimize RF pulse design, minimize SAR, and enhance imaging performance by facilitating flexible current path control and sophisticated RF current distribution patterns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multi-channel parallel RF transmit is used to improve imaging performance and reduce SAR, then imaging quality and safety are improved, but system complexity and difficulty of optimization increase

Engineering Contradiction:
ImprovesafetyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent divides the RF transmit system into multiple independent channels, each with its own coil element and control parameters. This segmentation allows independent optimization of each channel's contribution to the overall B1 field, enabling sophisticated current distribution patterns that reduce SAR while maintaining imaging performance. Each channel can be individually calibrated and controlled, managing system complexity through modular organization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic control of RF pulse parameters including amplitude, phase, and timing across multiple channels. This dynamic modulation allows real-time optimization of the composite B1 field pattern, enabling the system to adaptively reduce SAR in specific regions while maintaining necessary excitation levels in imaging regions. The dynamic adjustment of multiple parameters provides fine-grained control over energy deposition.

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If RF power is increased to improve signal quality, then imaging performance is improved, but SAR increases causing safety concerns

Engineering Contradiction:
Improveimaging performanceVSAvoidSAR
Core Design Contradiction:
Manufacturing precisionVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by creating spatially varying B1 field patterns through coordinated multi-channel RF pulses. Different regions of the imaging volume receive differently weighted RF energy based on their importance for imaging versus SAR concerns. This allows high signal quality in regions of interest while limiting power deposition in other areas, effectively decoupling overall imaging performance from total SAR.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent converts the potentially harmful effect of RF energy deposition into a beneficial tool by using constructive and destructive interference of RF fields from multiple channels. By carefully controlling phase and amplitude relationships, the system creates regions of high B1 field strength for imaging while producing regions of low or zero field strength that act as SAR sinks, effectively using the physics of wave interference to reduce overall power deposition.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

3Ease of manufacture

If conventional RF monitoring is used to track power, then implementation is simple, but it cannot predict or optimize SAR distribution

Engineering Contradiction:
Improveease of implementationVSAvoidSAR prediction capability
Core Design Contradiction:
Ease of manufactureVSLoss of information

Solution Approach 1:

The patent performs preliminary calibration measurements to characterize the B1 field contribution of each RF channel before actual imaging. This pre-characterization data is stored and used to predict SAR distribution for any proposed set of RF pulse parameters. By doing this preliminary work, the system can rapidly evaluate and optimize SAR for different imaging sequences without performing complex real-time simulations, maintaining ease of operation while gaining predictive capability.

Inventive Principle:
Principle #10Preliminary action

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

This approach allows for accurate prediction and reduction of SAR, improved RF energy transmission and dissipation management, and enhanced MR imaging performance by optimizing RF pulse design and coil structure, thereby improving image quality and safety.

Implementation Method 1

predetermined RF pulses, through an array of RF power amplifier, drive currents in the RF coil structure. The currents in turn drive the B1 field

Methodology Applied
Scientific EffectElectromagnetic field generation: Electromagnetic Induction

Implementation Method 2

the rotating magnetization due to the precessing spins generates an electromotive force in the RF coil structure, which induces currents in accordance with the B1− component of the B1 field

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 3

The RF loss associated with the concomitant E field causes RF energy deposition in the object (RF power dissipation through Joule heating and polarization damping forces=∫(σ+ωε′′)|E|2dv)

Methodology Applied
Scientific EffectJoule heating: Joule Heating

Data Source

PatentUS8319495B1Multi-port RF systems and methods for MRI
Publication Date: 2012.11.27 ZHU YUDONG
  • US8319495B1 patent drawing
  • US8319495B1 patent drawing
  • US8319495B1 patent drawing

AI summary

Optimizing RF coil currents' magnitude/phase relationship, temporal modulation and spatial distribution is crucial to MR imaging performance. One key aspect for the optimization is the knowledge of B1 spatial distribution and RF power deposition associated with a coil current pattern or a source configuration, and the use of the knowledge in the optimization. Another key aspect for the optimization is a hardware infrastructure that facilitates the optimization, with, specifically, a coil structure that supports flexible current path control. The present invention relates to calibration methods and multi-channel parallel RF transmit/receive coil assemblies that improve the performance of MR imaging by addressing both aspects.