Multiresolution Magnetic Resonance Fingerprinting Scan Data
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Solution Overview
Problem
Magnetic resonance fingerprinting (MRF) techniques require extended scan times for high-resolution tissue property maps due to the need for extensive k-space data acquisition, which can be inefficient and time-consuming.
Innovation Solution
Combining low-resolution and high-resolution k-space data using specific scanning patterns and ratios, such as spiral, radial, or rectilinear patterns, to generate high-resolution tissue property maps with reduced scan time, including methods like fast Fourier transforms and undersampling factors, allowing for efficient data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution data is acquired at every time point, then high spatial resolution property maps can be generated, but scan time is extended
Solution Approach 1:
The patent segments the k-space data acquisition into two distinct components: low-resolution data acquired at every time point and high-resolution data acquired at selected time points. This segmentation allows the system to collect essential low-resolution information continuously while obtaining high-resolution information only when necessary, thereby reducing overall scan time while maintaining high-resolution mapping capability.
Solution Approach 2:
The patent applies partial action by acquiring high-resolution data at only a fraction of time points rather than at every time point. The system determines the optimal subset of time points for high-resolution acquisition based on tissue property variation characteristics, collecting sufficient high-resolution data to generate accurate property maps without the excessive time cost of continuous high-resolution sampling.
2Loss of time
If low-resolution data is used for all time points, then scan time is reduced, but spatial resolution is degraded
Solution Approach 1:
The patent merges low-resolution and high-resolution data in a hybrid acquisition strategy. Low-resolution data from all time points provides continuous temporal coverage and captures overall tissue property changes, while high-resolution data from selected time points adds fine spatial detail. The combination of these two data types in the property map generation process achieves both time efficiency and spatial precision.
3Reliability
If high-resolution data is collected at every time point, then accurate tissue property maps are generated, but data sampling time increases
Solution Approach 1:
The patent performs preliminary analysis to identify which time points require high-resolution data acquisition based on expected tissue property variations. By pre-determining the optimal subset of time points for high-resolution sampling, the system prepares an efficient acquisition schedule that ensures accurate property map generation without unnecessary high-resolution data collection at all time points.
Data Source
AI summary
Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining scan data of a sample at a low-resolution over a k-space and obtaining other scan data at a high-resolution over the k-space. This scan data may be captured over the same regions, different regions, or where one scan data is captured over a sub-region of the other. The low-resolution and high-resolution scanning is repeated according to a scanning ratio between the first scan data and the second scan data to generate interleaved low-resolution and high-resolution scan data. From that interleaved low-resolution and high-resolution scan data, high-resolution tissue property maps of the sample are generated.