MRI Distortion Characterization Using Physical and Digital Phantoms

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Solution Overview

Problem

Existing MRI calibration methods rely heavily on simulation tools that depend on reference equipment with potential imperfections, making it difficult to identify and correct image distortions accurately.

Innovation Solution

A method involving a physical phantom and a digital twin, using Bloch equations to simulate MRI sequences without recording spin trajectories, allowing real-time comparison of virtual and experimental images to identify and correct distortions from equipment, sequence, and reconstruction errors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If simulation tools are used for MRI calibration, then calibration can be performed, but the reference equipment may have imperfections that propagate errors

Engineering Contradiction:
Improvecalibration accuracyVSAvoidreference equipment dependency
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent creates a digital twin (virtual copy) of the physical phantom that replicates its magnetic resonance properties. This digital model can be simulated without physical constraints, allowing calibration reference generation that is independent of physical reference equipment imperfections. The digital twin is solved using Bloch equations to generate expected signal values that serve as a reliable calibration reference.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent introduces a digital phantom as an intermediary between the physical measurement system and the calibration process. Instead of directly comparing measurements to physical reference standards, the system uses the digital phantom to generate expected signals, which then serve as the reference for comparing against actual MRI measurements, thereby eliminating dependency on physical reference equipment.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If spin trajectories are recorded for simulation, then accurate MRI signal prediction is possible, but excessive computing resources are required

Engineering Contradiction:
Improvesignal prediction accuracyVSAvoidcomputing resource consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the essential magnetic resonance properties (relaxation times T1 and T2, proton density) from the complex spin trajectory simulation. Instead of tracking individual spin trajectories through the magnetic field, the method directly solves the Bloch equations for these key parameters, obtaining the necessary signal prediction information while eliminating the computationally expensive trajectory tracking component.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the simulation approach from tracking spatial trajectories of spins to directly solving for magnetic resonance parameters (T1, T2, proton density) using Bloch equations. This parameter transformation converts a computationally intensive spatial simulation into a more efficient parametric solution that achieves the same calibration objective with reduced computational resources.

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

Enables precise identification and correction of MRI image distortions by distinguishing between object, machine, and sequence-related errors, optimizing image quality without excessive computing resource demands.

Implementation Method 1

The evolution of the magnetization within this virtual phantom subjected to this same sequence is solved numerically by means of a computer program using the Bloch equations

Methodology Applied
Scientific EffectBloch equations:

Implementation Method 2

The MRI principle is based on the magnetic properties of hydrogen atoms... the protons of the hydrogen atoms of the body are stimulated simultaneously, which has the effect of aligning their spin magnetic moments in the direction of the magnetic field produced... the atoms are brought into resonance by making them undergo excitation by a magnetic field (radiofrequency)

Methodology Applied
Scientific EffectMagnetic resonance:

Implementation Method 3

the supply of energy is carried out via the emission of another specific magnetic field called Bi, which is a field rotating at the Larmor frequency of the hydrogen nuclei

Methodology Applied
Scientific EffectLarmor precession:

Implementation Method 4

The MRI apparatus contains gradient coils, placed on three axes of a 3D plane. The electric current that passes through these gradient coils produces a local distortion of the main magnetic field. This distortion is used for spatial encoding of the images

Methodology Applied
Scientific EffectMagnetic field gradient: Magnetic Field

Implementation Method 5

When the application of this magnetic field Bi is stopped, all the hydrogen nuclei dissipate the accumulated energy and gradually return to their state of equilibrium. This is when the image is acquired. The return to equilibrium of the hydrogen nuclei (also called relaxation) is not instantaneous

Methodology Applied
Scientific EffectRelaxation:

Data Source

PatentUS12405336B2Characterization of distortions in magnetic resonance imaging
Publication Date: 2025.09.02 ALARA EXPERTISE
  • US12405336B2 patent drawing
  • US12405336B2 patent drawing
  • US12405336B2 patent drawing

AI summary

A method for calibrating a piece of MRI tomography equipment involves constructing a pair of phantoms comprising a physical phantom and a digital twin phantom, determining the virtual image of the digital phantom on the basis of the characteristics of the piece of MRI equipment to be tested, carrying out an MRI sequence with the physical phantom, and verifying the virtual and real image, wherein the digital phantom is produced by solving Bloch equations applied to the characteristics of the physical phantom as a function of the characteristics of the reference sequence.