MRI K-space Segmentation for Time-Resolved Imaging

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Solution Overview

Problem

Current MRI systems face limitations in performing time-resolved imaging with grouped data acquisition, as they struggle to incorporate preparation pulses, are memory and computation intensive, and cannot coordinate k-space sampling with triggering signals, leading to restricted imaging times and resolution, especially in vascular applications.

Innovation Solution

An MRI system and method that samples data points in k-space by dividing it into regions with a central sub-region and multiple peripheral sub-regions, allowing for the use of preparation pulses and coordinated sampling with respiratory or cardiac gating signals, thereby improving imaging efficiency and reducing the need for restrictive signal suppression methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If annular ring segmentation with undersampling is used to reduce imaging time, then imaging time is reduced, but preparation pulses cannot be incorporated

Engineering Contradiction:
Improveimaging timeVSAvoidincorporation of preparation pulses
Core Design Contradiction:
Loss of timeVSAdaptability or versatility

Solution Approach 1:

The patent segments k-space into a central region and multiple peripheral regions, allowing independent sampling strategies for each region. The central region is sampled in every phase, while peripheral regions are selectively sampled based on triggering signals, enabling both time reduction and preparation pulse incorporation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements periodic sampling of the central k-space region at predetermined intervals synchronized with triggering signals (e.g., cardiac or respiratory cycles). This periodic action allows preparation pulses to be applied during specific physiological phases while maintaining consistent central region data for image reconstruction.

Inventive Principle:
Principle #19Periodic action

2Object-generated harmful factors

If subtraction of pre-contrast phase image is used to suppress unwanted signals, then signal suppression is achieved, but the system is limited to vascular applications and requires multiple echoes

Engineering Contradiction:
Improveunwanted MR signalsVSAvoidapplication scope
Core Design Contradiction:
Object-generated harmful factorsVSAdaptability or versatility

Solution Approach 1:

The patent applies preparation pulses (such as fat suppression pulses, inversion recovery pulses, or saturation bands) before the imaging sequence to pre-suppress unwanted signals like fat signals. This preliminary action eliminates the need for post-acquisition subtraction methods and enables broader application beyond vascular imaging.

Inventive Principle:
Principle #10Preliminary action

3Object-generated harmful factors

If multiple unaliased echoes are used for fat/water separation, then signal suppression is improved, but TE/TR is prolonged and resolution is constrained

Engineering Contradiction:
Improvefat signalsVSAvoidimaging resolution
Core Design Contradiction:
Object-generated harmful factorsVSManufacturing precision

Solution Approach 1:

The patent applies fat suppression preparation pulses before the imaging sequence to pre-suppress fat signals, eliminating the need for multiple echoes and Dixon separation. This approach maintains short TE/TR values and preserves imaging resolution while achieving effective fat signal suppression.

Inventive Principle:
Principle #10Preliminary action

4Ease of operation

If k-space sampling is not coordinated with triggering signals, then acquisition is simpler, but gated acquisitions are unreliable

Engineering Contradiction:
Improveacquisition simplicityVSAvoidgated acquisitions
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent incorporates triggering signal feedback (such as ECG or respiratory signals) to control the timing of k-space sampling. The central region is sampled periodically based on detected physiological events, ensuring synchronized data acquisition that improves the reliability of gated acquisitions while maintaining operational simplicity through automated trigger-based control.

Inventive Principle:
Principle #23Feedback

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 efficient time-resolved MR imaging with improved resolution and reduced motion artifacts, allowing for higher imaging capabilities and more reliable gated acquisitions, while eliminating the need for restrictive signal suppression methods, thus enhancing the overall performance of MRI systems.

Implementation Method 1

Many MRI systems use superconductive magnets to scan a subject/patient via imposing a strong main magnetic field on the nuclei in the subject to be imaged

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

The nuclei are excited by a radio frequency ('RF') signal at characteristics NMR (Larmor) frequencies

Methodology Applied
Scientific EffectNuclear magnetic resonance:

Implementation Method 3

By spatially disturbing localized magnetic fields surrounding the subject and analyzing the resulting RF responses from the nuclei

Methodology Applied
Scientific EffectMagnetic field gradient: Magnetic Field

Data Source

PatentUS10359493B2MRI system and method for performing time resolved MR imaging of an object with grouped data acquisition
Publication Date: 2019.07.23 GE PRECISION HEALTHCARE LLC
  • US10359493B2 patent drawing
  • US10359493B2 patent drawing
  • US10359493B2 patent drawing

AI summary

An MRI system for performing time resolved MR imaging of an object with grouped data acquisition is provided. The MRI system includes an MRI controller in electronic communication with a magnet assembly and operative to sample a group of data points within a first region of a k-space. The first region includes a central sub-region and a first peripheral sub-region. The MRI controller is further operative to sample a group of data points within a second region of the k-space. The second region includes the central sub-region and a second peripheral sub-region different from the first peripheral sub-region.