SAR Calculation Processor for MRI Patient Safety

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Solution Overview

Problem

In high-field magnetic resonance imaging (MRI), the local specific energy absorption rate (SAR) varies significantly between patients, leading to limitations in RF power and duty cycle, which complicates the calculation of SAR for multi-channel RF transmit systems, resulting in inefficient scanning and potential safety issues due to systematic errors from bio-mesh models and the need for real-time calculations that are impractically time-consuming.

Innovation Solution

A magnetic resonance system that includes a specific energy absorption rate calculation processor and a sequence controller to determine local SAR hotspots, using a graphics card for parallel processing to efficiently calculate and customize SAR for individual patients, allowing for the design of RF pulse sequences that account for patient-specific SAR profiles and ensure safe scanning.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If SAR calculation is performed using bio-mesh models for E-field simulations, then SAR estimation can be obtained, but systematic errors occur that are difficult to characterize

Engineering Contradiction:
ImproveSAR estimation accuracyVSAvoidsystematic error characterization
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent creates a digital twin (virtual model) of the patient's anatomy that replicates the physical patient's electromagnetic properties. This virtual copy allows SAR calculations to be performed on the digital model rather than relying on bio-mesh simulations, thereby avoiding the systematic errors inherent in bio-mesh approaches while maintaining measurement accuracy.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical/bio-mesh simulation approach with a physics-based electromagnetic field calculation method using measured B1 maps. Instead of relying on simplified bio-mesh models that introduce systematic errors, the system uses actual measured field data to compute SAR, substituting the simulation mechanism with a measurement-based calculation mechanism.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If worst-case scenario estimation of SAR is used to ensure safety for all patients, then safety is guaranteed, but the allowed RF duty cycle is limited so much that the MRI system becomes seriously compromised

Engineering Contradiction:
Improvepatient safetyVSAvoidRF duty cycle
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies local quality by tailoring the SAR calculation to each individual patient's specific anatomy and electromagnetic properties rather than using a uniform worst-case scenario for all patients. By measuring B1 maps specific to each patient and computing their personalized SAR distribution, the system ensures safety for that specific patient while avoiding the overly conservative RF duty cycle limitations imposed by blanket worst-case estimates.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent implements dynamic SAR calculation that adapts to each patient's specific characteristics through measured B1 maps. Rather than using a static worst-case scenario, the system dynamically computes SAR based on actual patient-specific field measurements, allowing the RF duty cycle to be optimized for each individual patient's safety profile rather than being constrained by a one-size-fits-all approach.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If SAR calculation is performed on a per-channel basis for multi-transmit systems using parallel RF transmission pulses, then accurate SAR estimation is achieved, but additional information such as B1 maps is required making the process complex

Engineering Contradiction:
Improveper-channel SAR accuracyVSAvoidcalculation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent performs preliminary measurement of B1 maps for each transmit channel before the actual SAR-critical scan. These pre-acquired B1 maps capture the electromagnetic field distribution for each channel and are stored for later use. When SAR calculation is needed, the system retrieves these pre-measured B1 maps rather than performing new measurements, thereby simplifying the SAR calculation process while maintaining per-channel accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses B1 maps as an intermediary data structure that bridges the gap between raw RF transmission parameters and SAR calculations. By measuring and storing B1 maps for each transmit channel, the system creates an intermediate representation of the electromagnetic fields that can be directly used in SAR computations, simplifying the overall process while maintaining accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

4Reliability

If RF sequences are constructed to accommodate known static hotspots, then those specific hotspots are controlled, but unknown patient-specific hotspots at other locations may be inadvertently exacerbated

Engineering Contradiction:
Improveknown hotspot controlVSAvoidpatient-specific hotspot coverage
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements feedback by using measured B1 maps to inform SAR calculations for each patient. The system measures the actual electromagnetic field distribution (B1 maps) for each patient, uses this feedback information to compute patient-specific SAR distributions, and then adjusts RF pulse parameters accordingly. This closed-loop approach ensures both known and unknown hotspots are identified and controlled based on actual patient-specific measurements rather than assumptions.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent changes the parameters used for SAR calculation from fixed, population-based assumptions to dynamic, patient-specific measured B1 map data. By adjusting the input parameters (actual measured fields rather than theoretical models) to match each patient's unique electromagnetic properties, the system can identify and control both known and unknown hotspots specific to that patient's anatomy.

Inventive Principle:
Principle #35Parameter changes

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 enables faster and more accurate SAR calculations, allowing for optimized RF pulse sequences, increased scanning efficiency, and compliance with safety limits, reducing the risk of SAR hotspots and enabling real-time diagnostic imaging.

Implementation Method 1

A main magnet generates a substantially uniform main magnetic field in an examination region

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

A radio frequency assembly induces magnetic resonance in selected dipoles of a subject in the examination region

Methodology Applied
Scientific EffectMagnetic resonance: Resonance

Implementation Method 3

A radio frequency assembly induces magnetic resonance in selected dipoles

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 4

A specific energy absorption rate calculation processor calculates a specific energy absorption rate and determines local specific energy absorption rate hotspots

Methodology Applied
Scientific EffectSpecific energy absorption rate: Dielectric Heating

Data Source

PatentUS8941380B2Real-time local and global SAR estimation for patient safety and improved scanning performance
Publication Date: 2015.01.27 KONINKLIJKE PHILIPS NV
  • US8941380B2 patent drawing
  • US8941380B2 patent drawing
  • US8941380B2 patent drawing

AI summary

In a method and apparatus to enable increased RF duty cycle in high field MR scans, a specific energy absorption rate (SAR) calculation processor calculates the local and global SAR or even a spatial SAR map. By incorporating additional information as, e.g. patient position, the SAR calculation accuracy can be increased as well as by using more patient specific pre-calculated information (e.g. based on different bio meshes), the so called Q-matrices. A sequence controller maybe provided to create a global SAR optimal RF pulse. After the optimal RF pulse is applied, the SAR and its spatial distribution are determined. SAR hotspots are also determined. Q-matrices within an appropriate radius around the hotspots are averaged and added to a global Q-matrix in a weighted fashion. After the global Q-matrix is updated, a new optimal RF pulse is created.