Magnetic Resonance Fingerprinting Non-Sequential Cartesian Sampling
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Solution Overview
Problem
Conventional magnetic resonance imaging (MRI) and magnetic resonance fingerprinting (MRF) techniques face challenges with imperfections in non-Cartesian sampling strategies, such as gradient imperfections and off-resonance effects, which complicate data acquisition and interpretation.
Innovation Solution
A system and method for MRF data acquisition using a Cartesian grid with non-locally sequential sampling patterns, incorporating random or pseudorandom sampling and temporal low-rank and subspace modeling to overcome the limitations of traditional Cartesian and non-Cartesian sampling methods, allowing for efficient and accurate quantification of T1, T2, and off-resonance parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-Cartesian sampling patterns (spiral, radial, rosette) are used for MRF data acquisition, then acquisition speed is improved, but the data becomes susceptible to gradient imperfections and off-resonance effects causing artifacts
Solution Approach 1:
The patent inverts the conventional approach by using Cartesian sampling instead of non-Cartesian sampling. This inversion resolves the contradiction because Cartesian sampling inherently avoids the gradient imperfections and off-resonance effects that plague non-Cartesian methods, while still achieving accelerated acquisition through non-sequential sampling patterns and parallel imaging techniques.
Solution Approach 2:
The patent changes the sampling parameter from non-Cartesian trajectories to Cartesian grid sampling. This parameter change eliminates the susceptibility to gradient imperfections and off-resonance effects while maintaining acquisition efficiency through optimized sampling patterns and parallel reconstruction methods.
2Reliability
If traditional Cartesian sampling is used, then data is less susceptible to gradient imperfections, but acquisition speed is reduced
Solution Approach 1:
The patent introduces dynamics by using non-sequential sampling patterns within the Cartesian grid and applying parallel imaging reconstruction techniques. This allows the system to adaptively optimize acquisition speed while maintaining the reliability benefits of Cartesian sampling, resolving the contradiction between data quality and acquisition speed.
Solution Approach 2:
The patent substitutes traditional sequential Cartesian sampling with a combination of non-sequential sampling patterns and parallel imaging reconstruction. This substitution replaces the mechanical constraint of sequential acquisition with a more efficient system that achieves faster acquisition speeds while preserving the quality advantages of Cartesian sampling.
3Productivity
If non-sequential sampling patterns are used in Cartesian grid, then acquisition speed is improved, but implementation complexity increases
Solution Approach 1:
The patent introduces parallel imaging reconstruction algorithms as an intermediary that bridges the gap between simple Cartesian sampling and fast non-sequential sampling. This intermediary component handles the complexity of reconstructing images from non-sequentially sampled data, allowing the acquisition system to operate with simpler hardware while achieving high speeds through sophisticated but computationally manageable reconstruction techniques.
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 faster acquisition times with reduced blurring artifacts, providing robust and high-resolution isotropic MRF imaging that is less susceptible to gradient and off-resonance imperfections, improving tissue property characterization.
Implementation Method 1
a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject
Implementation Method 2
a magnetic gradient system including a plurality of magnetic gradient coils configured to apply at least one magnetic gradient field to the polarizing magnetic field
Implementation Method 3
a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals from the subject
Data Source
AI summary
A system and method is provided for acquisition of magnetic resonance fingerprinting (“MRF”) data that includes determining a non-locally sequential sampling pattern for a Cartesian grid of k-space, performing a series of sequence blocks using acquisition parameters that vary between sequence blocks to acquire MRF data from a subject using the Cartesian grid of k-space and the determined non-locally sequential sampling pattern, assembling the MRF data into a series of signal evolutions, comparing the series of signal evolutions to a dictionary of known signal evolutions to determine tissue properties of the subject, and generating a report indicating the tissue properties of the subject.