MRI cT1 Mapping with Iron and Field Strength Correction
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Solution Overview
Problem
Existing MRI scanners face challenges in accurately determining corrected T1 (cT1) maps due to variations in iron concentration, magnetic field strength, and scanner differences, limiting their use in standardized clinical assessments.
Innovation Solution
A method involving the acquisition of multiple MR images with varying inversion times, combined with field strength and iron corrections, to generate a standardized cT1 map using a dictionary of synthetic MR signal relaxation curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple MR images are acquired from different MRI scanners with varying field strengths and iron concentrations, then the ability to perform standardized clinical assessments is improved, but the complexity of data processing and standardization increases
Solution Approach 1:
The patent transforms raw T1 values into standardized cT1 values by applying correction factors that account for variations in magnetic field strength and liver iron concentration. This parameter transformation enables data from different scanners to be normalized to a reference standard (3T scanner with normal iron levels), resolving the contradiction by making the data adaptable across scanners while managing complexity through systematic correction formulas
Solution Approach 2:
The patent introduces an intermediary standardization process that acts as a mediator between diverse scanner outputs and clinical assessment requirements. By using reference T1 values and correction factors as intermediaries, the system translates heterogeneous scanner data into a common language (standardized cT1 maps), enabling standardized clinical assessments without requiring direct compatibility between different scanner systems
2Measurement precision
If T1 mapping is performed to assess liver iron concentration, then the diagnostic accuracy is improved, but the measurement precision is reduced due to iron concentration variations affecting T1 values
Solution Approach 1:
The patent extracts and separates the confounding effect of liver iron concentration from the T1 measurement by introducing an independent iron assessment method. By measuring liver iron concentration separately (e.g., through T2* mapping or biochemical assays) and then correcting the T1 values based on these independent measurements, the system removes the interference that iron concentration creates, thereby improving both diagnostic accuracy and measurement consistency
Solution Approach 2:
The patent performs preliminary correction for liver iron concentration effects before final T1 value determination. By measuring or estimating the iron concentration in advance and applying correction factors to the raw T1 values, the system pre-compensates for the confounding effect, ensuring that the final cT1 values reflect true tissue properties rather than iron-related artifacts, thus improving both accuracy and reliability
3Adaptability or versatility
If field strength corrections are applied to standardize T1 values across scanners, then the compatibility between different scanners is improved, but the manufacturing precision of the standardization process becomes more challenging
Solution Approach 1:
The patent develops a universal correction framework that can be applied across multiple scanner manufacturers and field strengths using a single reference standard (3T scanner). By creating field strength-dependent correction factors that work universally for 1.5T, 3T, and other field strengths, the system achieves broad scanner compatibility while maintaining standardization accuracy through a unified approach rather than manufacturer-specific calibrations
Solution Approach 2:
The patent applies partial correction by focusing on the dominant sources of variation (field strength and iron concentration) rather than attempting to correct for all possible scanner differences. By addressing the most significant factors that affect T1 values across scanners, the system achieves sufficient standardization accuracy for clinical purposes without requiring exhaustive correction for every minor scanner-specific parameter, thus balancing compatibility and 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 the generation of reproducible and standardized cT1 maps across different MRI scanners, independent of their strength or manufacturer, with potential for higher spatial resolution and improved accuracy.
Implementation Method 1
Magnetic Resonance Imaging (MRI) scanning technology can be used to acquire images of the human body that have a contrast that is dependent upon the nuclear magnetic resonance (NMR) relaxation properties of the imaging nucleus
Implementation Method 2
the T1, T2 and T2* properties (for example) depend on the magnetic environment of the atoms and also upon the motion of these molecules within this environment
Data Source
AI summary
A method of analysing MRI images is described. The method comprising acquiring at least three medical MR images of a subject; analysing the at least three medical MR images to determine a water T1 map; applying a field strength correction and an iron correction to the determined water T1 map to generate a corrected water T1 map; generating one or more simulated MRI images based on the water T1 map; fitting the one or more simulated MR images to determine a standard cT1 image for the subject.