Q-Space Trajectory MRI Pulse Sequence for Fiber Crossing Resolution
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Solution Overview
Problem
Current white matter tractography techniques, such as diffusion spectrum imaging (DSI), require lengthy scan times due to complex fiber crossing behavior, limiting their clinical utility and ability to achieve widespread adoption.
Innovation Solution
A method employing q-space trajectories that sample multiple points in q-space per repetition time (TR) using diffusion preparation (DP) steps and signal readouts, combined with radial raster and compressed sensing techniques, to reduce data acquisition time without compromising angular resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional q-space sampling schemes (DSI or q-ball imaging) are used to resolve complex fiber crossing behavior, then measurement precision of fiber orientation is improved, but loss of time increases due to lengthy scan times
Solution Approach 1:
The patent uses multiple diffusion preparation steps with different gradient directions to acquire multiple q-space points, creating redundant information that can be processed to resolve fiber crossings without requiring exhaustive sampling of all q-space points
Solution Approach 2:
The patent varies diffusion preparation parameters (gradient strength, duration, direction) across multiple preparations within a single TR to sample different regions of q-space, enabling efficient coverage of the required parameter space for resolving fiber orientations
2Measurement precision
If multiple diffusion preparation steps are performed in the same or similar directions to sample multiple radii in q-space, then measurement precision of angular resolution is improved, but loss of time increases due to redundant travel through q-space
Solution Approach 1:
The patent transitions from sampling only radial distance in q-space to sampling both radial distance and angular direction by implementing trajectories that move through multiple dimensions of q-space, thereby reducing redundant sampling and accelerating acquisition
Solution Approach 2:
The patent employs dynamic trajectories through q-space that adaptively select gradient directions and strengths, allowing the system to efficiently navigate through relevant q-space regions without following fixed redundant paths
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 significantly reduces data acquisition time by up to 60% while maintaining comparable angular resolution, making it more suitable for clinical use and improving patient tolerance and workflow.
Implementation Method 1
magnetic resonance imaging (MRI)
Implementation Method 2
diffusion weighted (DW) magnetic resonance imaging
Data Source
AI summary
Systems and methods capable of improving acquisition times associated with obtaining diffusion-weighted magnetic resonance imaging data are discussed. In aspects, multiple points in q-space can be sampled in a single repetition time (TR). Acquisition time can be further increased using other techniques, such as a radial raster or compressed sensing.