MRI Blipped-CAIPI Phase Error Correction for Chemical Shift Artifacts

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Solution Overview

Problem

Magnetic resonance imaging (MRI) apparatuses face challenges in removing artifacts caused by excitation position errors of chemical shift materials in blipped-controlled aliasing parallel imaging (blipped-CAIPI) methods, which affect image quality due to phase errors and geometric errors related to resonant frequency differences between main and chemical shift components.

Innovation Solution

The MRI apparatus performs blipped-CAIPI by determining and correcting phase errors of chemical shift components using geometric errors calculated from resonant frequency differences, gyromagnetic ratios, and gradient magnetic field parameters, and then uses these corrections in Fourier transform data to restore final images, employing operators for phase reflection and coil sensitivity adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If blipped-CAIPI method is used to accelerate image acquisition, then productivity is improved, but artifacts are generated due to excitation position errors of chemical shift materials

Engineering Contradiction:
Improveimage acquisition speedVSAvoidimage artifacts
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent applies preliminary action by calculating and storing the phase error correction values before image reconstruction. The system pre-computes the phase errors that will occur during blipped-CAIPI acquisition based on the known chemical shift of fat relative to water, and stores these correction values for application during the reconstruction process. This prevents artifacts from appearing in the final image while maintaining the accelerated acquisition speed.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the phase parameter of the chemical shift component by applying a phase error correction term during image reconstruction. Specifically, it adjusts the phase of the chemical shift component (fat) relative to the main component (water) to compensate for the excitation position errors introduced by the blipped-CAIPI method. This parameter adjustment eliminates artifacts while preserving the benefits of accelerated imaging.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If phase error correction for chemical shift components is applied, then image quality is improved, but device complexity increases

Engineering Contradiction:
Improveimage qualityVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies self-service by using the system's own acquired data to generate the correction parameters. The phase error correction values are calculated from the actual k-space data acquired during the blipped-CAIPI scan, utilizing the inherent relationship between the main component (water) and chemical shift component (fat) signals. This self-calibrating approach improves image quality without requiring external reference scans or complex additional hardware.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces complex mechanical or hardware-based correction mechanisms with a computational approach. Instead of using additional gradient pulses or RF pulses to physically correct the excitation position errors, the system uses mathematical phase correction applied during image reconstruction. This substitution of computational processing for physical correction mechanisms maintains image quality while avoiding increased device complexity.

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

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 effectively removes artifacts from MRI images by accurately accounting for phase errors caused by chemical shift components, improving image quality and fidelity by correcting excitation position errors, thereby enhancing the accuracy of image restoration.

Implementation Method 1

a gradient magnetic field generator configured to apply a gradient magnetic field to the subject

Methodology Applied
Scientific EffectGradient magnetic field: Magnetic Field

Implementation Method 2

The MRI apparatus may image an internal slice of a subject using a nuclear magnetic resonance (NMR) phenomenon, which is a phenomenon in which an atomic nucleus resonates with an electromagnetic wave having a constant frequency

Methodology Applied
Scientific EffectNuclear magnetic resonance: Resonance

Implementation Method 3

when the atomic nucleus is magnetized by being exposed to an external magnetic field, the spin of the atomic nucleus is aligned in a direction of the magnetic field and performs precession at a Larmor frequency

Methodology Applied
Scientific EffectMagnetic field alignment and precession: Magnetic Field

Data Source

PatentUS10502804B2Magnetic resonance imaging apparatus and method of controlling the same
Publication Date: 2019.12.10 SAMSUNG ELECTRONICS CO LTD
  • US10502804B2 patent drawing
  • US10502804B2 patent drawing
  • US10502804B2 patent drawing

AI summary

A method of controlling a magnetic resonance imaging (MRI) apparatus including performing, by the MRI apparatus, blipped-controlled aliasing parallel imaging (blipped-CAIPI) obtaining k-space data on a subject determining a phase error of a chemical shift component, wherein the phase error of the chemical shift component is proportional to a geometric error based on a resonant frequency difference between a main component and the chemical shift component in the subject comparing the k-space data with data in which the phase error of the chemical shift component is reflected, wherein the data in which the phase error of the chemical shift component is reflected is associated with data on the main component and data on the chemical shift component and determining final data for image restoration based on a result of the comparison.