Magnetic Resonance Fingerprinting Dictionary Selection for Tissue Parameter Accuracy
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Solution Overview
Problem
Conventional Magnetic Resonance Fingerprinting (MRF) methods face challenges in identifying an optimal sampling scheme to quickly and accurately determine tissue-specific MR parameters like T1 and T2, which affects the differentiation and measurement of these characteristics.
Innovation Solution
The method involves creating a dictionary group with multiple dictionaries, each containing intensity profiles from MRT recordings with specific sampling schemes, allowing for the selection of an optimal dictionary and sampling scheme based on preliminary recordings to enhance the comparability and accuracy of MRF measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed sampling scheme is used in conventional MRF methods, then the measurement process is simple and reproducible, but the accuracy and speed of determining tissue-specific MR parameters are limited
Solution Approach 1:
The patent applies preliminary action by performing a preliminary recording before the actual MRF measurement to determine appropriate sampling schemes. This preliminary step captures initial signal characteristics that inform the selection of optimal sampling parameters for the subsequent measurement, thereby improving accuracy without adding complexity to the main measurement process
Solution Approach 2:
The patent implements dynamics by making the sampling scheme adaptive rather than fixed. The sampling scheme is selected dynamically based on the preliminary recording results and can be adjusted for different body regions and tissue types. This allows the system to optimize measurement parameters in real-time, improving parameter determination accuracy while maintaining manageable complexity through automated selection
2Measurement precision
If high-frequency pulses with varying flip angles and TE/TR separation are used to generate dynamic range, then the differentiation of MR parameters is improved, but the measurement time and complexity increase
Solution Approach 1:
The patent applies partial action by using a dictionary group containing multiple dictionaries with different sampling schemes rather than using all possible sampling variations simultaneously. The preliminary recording identifies which subset of sampling schemes is optimal for the specific tissue type and body region, thereby achieving good parameter differentiation without the full time cost of evaluating all possible sampling combinations
Solution Approach 2:
The patent implements parameter changes by varying sampling scheme parameters (flip angles, TE, TR) across different dictionaries in the dictionary group. The preliminary recording determines which parameter combinations are most effective for the given tissue type, allowing the system to use optimized parameter sets that achieve good differentiation with reduced measurement time compared to exhaustive parameter sampling
3Adaptability or versatility
If multiple dictionaries with different sampling schemes are created, then the optimal sampling scheme can be selected for different body regions, but the data processing and storage requirements increase
Solution Approach 1:
The patent applies segmentation by organizing the dictionary group into multiple separate dictionaries, each associated with a specific sampling scheme optimized for particular tissue types or body regions. This segmentation allows selective loading and processing of only the relevant dictionaries based on preliminary recording results, reducing the effective data processing burden while maintaining the versatility of having multiple specialized dictionaries available
Solution Approach 2:
The preliminary recording serves as a filtering mechanism that identifies which dictionaries from the dictionary group are relevant for the current measurement. By determining the appropriate dictionary subset beforehand, the system avoids processing all dictionaries, thereby reducing computational load and effective storage requirements while maintaining adaptability to different body regions and tissue types
Data Source
AI summary
In a method for controlling a magnetic resonance tomography system for a Magnetic Resonance Fingerprinting (MRF) measurement: a dictionary group including at least two dictionaries is provided/created, each of the at least two dictionaries containing a multiplicity of different intensity profiles with a specific sampling scheme; a preliminary recording of magnetic resonance tomography (MRT) measurements is created; a sampling scheme is determined/defined based on the preliminary recording; a dictionary is selected from the at least two dictionaries of the dictionary group based on the preliminary recording; and an MRF measurement is performed using the defined sampling scheme and an MRF evaluation based on the selected dictionary.