Diffusion-Weighted MRI Near Metal Implants Using PROPELLER-DUO

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Solution Overview

Problem

Current diffusion-weighted MRI techniques face significant challenges in producing high-quality images near metallic implants or devices due to image distortions caused by magnetic field perturbations, and existing multi-spectral imaging methods are not inherently supportive of diffusion-weighting, leading to unrecognizable images.

Innovation Solution

The method involves using a magnetic resonance imaging system to acquire diffusion-weighted data by sampling k-space at different k-space blades for spectral bins, combining data, reconstructing images, and producing a composite image using PROPELLER-DUO acquisition to separate spin and stimulated echoes, thereby mitigating non-CPMG artifacts and enabling diffusion-weighted imaging near metallic objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If echo planar imaging (EPI) pulse sequences are used for diffusion-weighted imaging, then diffusion-weighted images can be acquired, but image distortions occur due to metallic object-induced magnetic field perturbations

Engineering Contradiction:
Improveimage qualityVSAvoidmagnetic field perturbations from metallic implants
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The imaging process is segmented into multiple spectral acquisitions at different frequency offsets. Instead of acquiring a single image susceptible to metal artifacts, the patent acquires multiple images at different spectral bins and combines them to form a composite image that mitigates the harmful effects of magnetic field perturbations from metallic implants.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the spectral acquisition parameters by acquiring data at multiple frequency offsets (spectral bins) rather than at a single frequency. This parameter change allows the system to capture information that can be combined to reduce the impact of metal-induced field distortions on the final image quality.

Inventive Principle:
Principle #35Parameter changes

2Object-affected harmful factors

If multi-spectral imaging (MSI) is used to overcome metal artifacts, then image distortions are reduced, but diffusion-weighting capability is lost because MSI is based on fast spin echo (FSE) imaging which does not support diffusion lobes

Engineering Contradiction:
Improveimage distortions from metal implantsVSAvoiddiffusion-weighting capability
Core Design Contradiction:
Object-affected harmful factorsVSAdaptability or versatility

Solution Approach 1:

The patent merges the advantages of multi-spectral imaging (artifact reduction) with diffusion-weighting capability by integrating diffusion-sensitizing gradients into the MSI sequence. This combination allows the system to simultaneously achieve both metal artifact mitigation and diffusion-weighted imaging functionality.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a universal imaging sequence that performs both multi-spectral artifact reduction and diffusion-weighting. The resulting sequence can handle both the metal artifact problem and the diffusion imaging requirement, making it versatile for imaging near metallic implants while maintaining diffusion-weighting capability.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If diffusion lobes are added to fast spin echo (FSE) sequence for diffusion-weighting, then diffusion-weighted imaging is enabled, but the CPMG condition is violated resulting in rapid decay of echo train amplitude

Engineering Contradiction:
Improvediffusion-weighting capabilityVSAvoidecho train amplitude decay
Core Design Contradiction:
Adaptability or versatilityVSDuration of action of moving object

Solution Approach 1:

The patent applies local quality by implementing diffusion lobes at specific locations within the pulse sequence rather than uniformly throughout. The diffusion-sensitizing gradients are strategically placed in the gradient waveform to provide diffusion-weighting while minimizing disruption to the echo train structure and maintaining CPMG condition compliance.

Inventive Principle:
Principle #3Local quality

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 reliable, motion-insensitive diffusion-weighted imaging near metal implants, providing high-quality images and enabling quantitative assessments of spinal cord health post-surgically, overcoming the limitations of existing techniques.

Implementation Method 1

EPI pulse sequences to induce proton magnetization in tissue water molecules as part of the imaging process

Methodology Applied
Scientific EffectProton magnetization: Magnetic Field

Implementation Method 2

using PROPELLER-DUO acquisition to separate spin and stimulated echoes, thereby mitigating non-CPMG artifacts

Methodology Applied
Scientific EffectEcho separation: Echo

Implementation Method 3

image distortions caused by metallic object-induced magnetic field perturbations

Methodology Applied
Scientific EffectMagnetic field perturbation: Magnetic Field

Data Source

PatentUS10712418B2Systems and methods for diffusion-weighted multi-spectral magnetic resonance imaging
Publication Date: 2020.07.14 MEDICAL COLLEGE OF WISCONSIN INC
  • US10712418B2 patent drawing
  • US10712418B2 patent drawing
  • US10712418B2 patent drawing

AI summary

Systems and methods for performing diffusion-weighted multi-spectral imaging (“MS!”) with a magnetic resonance imaging (“MRI”) system are provided, Diffusion-weighted images can thus be acquired from a subject in which a metallic object, such as an implant or other device, is present. In general, a two-dimensional or three-dimensional diffusion-weighted PROPELLER acquisition is performed to acquire data from multiple different spectral bins. Images from the spectral bins are reconstructed and combined to form diffusion-weighted composite images. Non-CPMG phase-cycling and split-blade PROPELLER techniques are combined with PROPELLER MSI metal artifact mitigation principles to this end.