Magnetic Resonance Fingerprinting Using Multiple Pulse Sequence Types
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Solution Overview
Problem
Conventional magnetic resonance imaging (MRI) techniques face limitations in reducing artifacts and achieving high signal-to-noise ratio (SNR) efficiency, particularly in magnetic resonance fingerprinting (MRF) due to long spiral readout times and the need for skilled interpretation across different machines and configurations.
Innovation Solution
A method and system for acquiring and comparing MR image datasets using multiple pulse sequence types to identify parameters, which reduces artifacts and enhances SNR efficiency by varying acquisition parameters such as flip angle, RF pulse phase, and repetition time, allowing for simultaneous characterization of tissue properties like T1, T2, and proton density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a long spiral readout is used in MRF, then the field of view and resolution are improved, but artifacts increase and SNR efficiency decreases
Solution Approach 1:
The patent divides the single long spiral readout into multiple shorter readout segments, each acquiring data for a different k-space region or imaging plane. This segmentation reduces the duration of each individual readout, thereby minimizing artifacts while maintaining overall image quality and resolution through composite reconstruction of the segmented data.
2Loss of time
If conventional single pulse sequence MRF is used, then the scanning time is reduced, but SNR efficiency decreases and diagnostic accuracy is limited
Solution Approach 1:
The patent combines multiple different pulse sequence types into a single integrated MRF acquisition protocol. Different pulse sequences with varying flip angles, repetition times, and echo times are merged to simultaneously acquire multiple tissue contrast weightings, thereby improving SNR efficiency and diagnostic accuracy without substantially increasing total scanning time.
Solution Approach 2:
The patent creates a universal MRF framework that can accommodate multiple pulse sequence types and acquisition parameters within a single imaging protocol. This multi-functional approach allows the system to adaptively optimize for different tissue types and diagnostic requirements while maintaining efficient scanning times through unified data acquisition and dictionary-based analysis.
3Measurement precision
If multiple image types are acquired for comprehensive tissue characterization, then diagnostic accuracy is improved, but the complexity of interpretation increases
Solution Approach 1:
The patent implements self-service through automated dictionary-based matching and parameter extraction algorithms that automatically analyze the multi-contrast MRF data. The system performs tissue characterization, parameter mapping, and diagnostic assessment without requiring manual interpretation of multiple image types, thereby maintaining high diagnostic accuracy while eliminating interpretation complexity for the radiologist.
Solution Approach 2:
The patent incorporates feedback mechanisms where the acquired MRF signals are continuously compared against a pre-computed dictionary of simulated signal evolutions. This feedback loop automatically identifies the best-matching tissue parameters and provides quantitative feedback on tissue properties, replacing subjective visual interpretation with objective, automated diagnostic feedback.
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 more accurate and efficient characterization of tissue properties with reduced artifacts and improved SNR, facilitating better diagnostic capabilities across different MRI systems and configurations.
Implementation Method 1
Characterizing tissue species using nuclear magnetic resonance ('NMR') can include identifying different properties of a resonant species
Implementation Method 2
a radio frequency (RF) system configured to apply an RF field to the subject and to receive magnetic resonance signals from the subject
Implementation Method 3
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
Data Source
AI summary
A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.