Radial k-space sampling for diffusion weighted MRI

Solution Overview

Problem

Current magnetic resonance imaging (MRI) techniques face challenges in reducing image acquisition time while minimizing motion artifacts and efficiently measuring diffusion, particularly in generating diffusion-weighted images.

Innovation Solution

The use of a radial k-space sampling method with diffusion gradient magnetic fields applied at varying angles and directions to form a radial k-space, allowing for the reconstruction of diffusion-weighted images using the Filtered Back Projection method.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional Cartesian k-space sampling is used for diffusion-weighted imaging, then complete diffusion information can be acquired, but image acquisition time is prolonged and motion artifacts increase

Engineering Contradiction:
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the k-space sampling into multiple radial trajectories, where each trajectory acquires diffusion information along a specific direction. By dividing the complete k-space into multiple radial passes with different diffusion gradient directions, the system can acquire comprehensive diffusion information more efficiently than conventional Cartesian sampling, reducing total acquisition time while maintaining measurement accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent employs dynamic adjustment of diffusion gradient directions across multiple radial trajectories. Instead of using fixed gradient directions as in conventional methods, the system dynamically varies the diffusion gradient orientation to match each radial trajectory's sampling direction, enabling efficient acquisition of diffusion information in multiple directions without proportionally increasing scan time.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If multiple diffusion directions are acquired to improve diffusion measurement accuracy, then measurement precision improves, but acquisition time increases

Engineering Contradiction:
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent merges the acquisition of multiple diffusion directions with radial k-space sampling by aligning diffusion gradient directions with radial sampling angles. This combination allows simultaneous collection of spatial encoding information and diffusion direction information in a single scan, achieving multi-directional diffusion measurement without proportionally increasing acquisition time compared to conventional sequential multi-directional sampling.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent maintains continuous data acquisition throughout the radial sampling process, continuously collecting diffusion information across all directions without interruption. This continuous sampling approach ensures that diffusion information from multiple directions is acquired efficiently in a single uninterrupted scan, improving both measurement accuracy and imaging speed.

Inventive Principle:
Principle #20Continuity of useful action

3Reliability

If longer acquisition time is used to reduce motion artifacts, then image quality improves, but productivity decreases

Engineering Contradiction:
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent employs radial (curved) sampling trajectories instead of straight Cartesian lines to traverse k-space. This radial approach naturally concentrates sampling density at the center of k-space where motion-related signal variations have greatest impact, providing motion artifact suppression while maintaining efficient acquisition. The curved radial paths enable faster coverage of critical k-space regions compared to conventional linear sampling.

Inventive Principle:
Principle #14Spheroidality (Curvature)

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 reduces image acquisition time and enables precise measurement of diffusion, facilitating faster and more accurate calculation of Apparent Diffusion Coefficient (ADC) maps.

Implementation Method 1

a gradient coil unit configured to form diffusion gradient magnetic fields

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 2

Magnetic Resonance Imaging (MRI) refers to acquiring an image of the density and the physicochemical characteristics of body tissues based on the characteristics of an atomic nucleus by generating a nuclear magnetic resonance phenomenon

Methodology Applied
Scientific EffectNuclear magnetic resonance: Resonance

Data Source

PatentUS10145923B2Resonance imaging apparatus and diffusion weighted image acquiring method thereof
Publication Date: 2018.12.04
  • US10145923B2 patent drawing
  • US10145923B2 patent drawing
  • US10145923B2 patent drawing

AI summary

A magnetic resonance imaging apparatus and a diffusion-weighted image acquiring method form a radial k-space through a radial sampling and acquire a diffusion-weighted image from the radial k-space, with the diffusion-weighted image acquiring including receiving an echo signal generated from the subject, and forming a k-space having a plurality of sampling lines by sampling the echo signal that is received, wherein the directions of the diffusion gradient magnetic fields applied at the time of forming the sampling lines that compose the k-space to cross each other at two adjacent sampling lines.