Magnetic Resonance Fingerprinting Rosette Trajectories Fat Mapping
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Solution Overview
Problem
Current magnetic resonance imaging (MRI) techniques require multiple scans or images to measure combined water-fat separation, making it inefficient for generating comprehensive tissue maps like water T1 and T2 maps along with proton density fat fraction maps.
Innovation Solution
The implementation of magnetic resonance fingerprinting (MRF) using a rosette-based readout for simultaneous myocardial T1 and T2 quantification and fat fraction mapping in a single scan, allowing for the isolation of fat signals from water signals to reduce mapping errors and improve tissue characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple scans or images are used for water-fat separation, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The patent combines multiple tissue characterization measurements (T1 mapping, T2 mapping, and proton density fat fraction mapping) into a single MRF scan using a rosette trajectory. This merging of multiple functions into one scan achieves comprehensive tissue characterization without requiring multiple separate scans, thereby resolving the contradiction between measurement precision and productivity.
Solution Approach 2:
The MRF pulse sequence with rosette trajectory serves multiple functions simultaneously: it performs T1 mapping, T2 mapping, and fat fraction mapping in a single acquisition. This multi-functionality allows the system to achieve comprehensive tissue characterization (improving measurement precision) while reducing the number of scans required (improving productivity).
2Loss of time
If fat signals are not isolated, then scan time is reduced, but measurement precision deteriorates due to water-fat partial volume effects
Solution Approach 1:
The patent extracts and isolates fat signals from water signals using the rosette trajectory's ability to separately sample fat and water resonances. By taking out the fat component, the method eliminates water-fat partial volume effects that would otherwise degrade mapping accuracy, while maintaining efficient single-scan acquisition.
Solution Approach 2:
The rosette trajectory acts as an intermediary mechanism that enables separate measurement of fat and water signals through its specific k-space sampling pattern. This intermediary approach allows for clean signal separation without requiring multiple scans, thus preserving both scan efficiency and measurement precision.
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
Enables efficient generation of quantitative tissue maps, including water T1 and T2 maps and proton density fat fraction maps, enhancing diagnostic capabilities by isolating fat content from water content, thereby improving visualization of anatomical structures and disease diagnosis.
Implementation Method 1
ob 102, a magnetic resonance scanning device configured to obtain magnetic resonance fingerprinting (MRF) data of a region of interest (ROI) in a sample
Data Source
AI summary
Methods and systems perform magnetic resonance fingerprinting (MRF) that provides tissue characterization through simultaneous quantification of water tissue properties and proton density fat fraction (PDFF), by using water-only and fat-only images from MRF. MRF is performed using rosette trajectories scanning k-space to effectively isolate water tissue and fat tissue, by separating these rosette trajectories into individual segments that are then analyzed to enable signals from fat tissue to be distinguished from water.