MRI Motion Compensation via Inverse-Consistent Registration

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Solution Overview

Problem

Magnetic resonance imaging (MRI) is hindered by patient motion, leading to image blurring and ghosting, with existing methods like prospective approaches requiring extra clinical setup and retrospective methods sacrificing image efficiency or being computationally costly.

Innovation Solution

The implementation of inverse-consistent non-rigid registration for motion compensation in MRI reconstruction, which determines motion between shots and incorporates it into the reconstruction process, decoupling motion estimation from compensation to reduce computational costs and enable efficient, automated motion correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If retrospective gating is used to compensate for motion, then motion artifacts are reduced, but image efficiency is sacrificed by rejecting acquired data

Engineering Contradiction:
Improvemotion compensation qualityVSAvoidimage efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent extracts the motion estimation problem from the reconstruction process by using separate navigator echoes to determine motion parameters. This allows motion compensation to be applied without rejecting acquired data, maintaining image efficiency while reducing motion artifacts.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces navigator echoes as an intermediary to measure motion independently from the main imaging data. These navigator signals serve as mediators that provide motion information without requiring rejection of the primary acquired data, thus maintaining productivity while improving reliability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If a model of motion parameterized by basis signals is used, then deformation field estimation is avoided, but computational costs are largely increased leading to reconstruction time of 10 minutes

Engineering Contradiction:
Improvemotion model complexityVSAvoidreconstruction time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The patent segments the motion compensation process into distinct steps: first acquiring navigator echoes, then estimating motion parameters separately, and finally applying compensation during reconstruction. This segmentation allows for more efficient computation compared to solving large linear equations that couple motion estimation and compensation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs motion estimation using navigator echoes before the main reconstruction process. By determining motion parameters in advance from the navigator data, the actual reconstruction can proceed more quickly without the need to solve complex coupled equations, significantly reducing overall reconstruction time.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If prospective approaches like breath-holding or respiratory gating are used, then motion is controlled during acquisition, but extra clinical set-up is required and performance is limited

Engineering Contradiction:
Improvemotion controlVSAvoidclinical set-up complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent enables the system to self-measure motion through navigator echoes that are automatically acquired as part of the imaging sequence. This eliminates the need for external motion tracking devices or complex clinical set-up, while still providing reliable motion control through post-acquisition compensation.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9341693B2Motion compensated magnetic resonance reconstruction in real-time imaging
Publication Date: 2016.05.17 SIEMENS MEDICAL SOLUTIONS USA INC
  • US9341693B2 patent drawing
  • US9341693B2 patent drawing
  • US9341693B2 patent drawing

AI summary

Magnetic resonance reconstruction includes motion compensation. Inverse-consistent non-rigid registration is used to determine motion between shots. The motion is incorporated into reconstruction. The incorporation compensates for the motion resulting from the period over which the MR data is acquired.