Multispectral MRI Fingerprinting for Faster Metal-Implant Mapping
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Solution Overview
Problem
Magnetic resonance imaging (MRI) near metallic implants is time-consuming due to the acquisition of many 3D volumes, preventing the use of reliable methods to quantify underlying tissue properties near the implants.
Innovation Solution
A method integrating multispectral imaging (MSI) and magnetic resonance fingerprinting (MRF) to generate quantitative parameter maps by varying acquisition parameters, using a series of variable sequence blocks and comparing data with a dictionary of signal evolutions to estimate tissue properties near metallic implants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multispectral imaging (MSI) is used to acquire images near metallic implants, then image quality and signal near the implant are improved, but scan time becomes excessively long
Solution Approach 1:
The patent combines multispectral imaging (MSI) with magnetic resonance fingerprinting (MRF) into a unified acquisition framework. This merging allows the method to leverage the artifact-reduction capabilities of MSI while incorporating the efficient quantitative parameter mapping of MRF, thereby achieving both improved image quality near metallic implants and reduced scan time through dictionary-based reconstruction
Solution Approach 2:
The patent varies acquisition parameters including spectral bin assignments, flip angles, and echo times across multiple acquisitions. By systematically changing these parameters and comparing the resulting spectral images against a pre-computed dictionary of signal evolutions, the method efficiently extracts quantitative tissue parameters while maintaining image quality and reducing scan time
2Reliability
If many 3D volumes are acquired for MSI, then quantitative parameter mapping reliability is improved, but scan time becomes clinically impractical
Solution Approach 1:
The patent pre-computes a dictionary of signal evolutions corresponding to various tissue parameter combinations before the actual scan. This preliminary preparation allows the acquired spectral images to be efficiently matched against the dictionary using pattern recognition algorithms, enabling reliable quantitative parameter mapping without requiring excessive scan time
Solution Approach 2:
The patent uses a dictionary of pre-computed signal evolutions as templates to represent expected tissue responses. By comparing acquired spectral images against these copied reference patterns, the method efficiently determines quantitative tissue parameters without requiring direct measurement of each parameter separately, thereby reducing scan time while maintaining reliability
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 quantitative parameter maps, such as T1 and T2 maps, with clinically feasible scan times, overcoming the limitations of conventional MSI by providing more efficient and accurate tissue property quantification.
Implementation Method 1
magnetic resonance imaging (MRI) system
Data Source
AI summary
Quantitative parameter maps are generated from multispectral data acquired using a multispectral imaging (“MSI”) technique. In general, the quantitative parameter maps—which may include T1 maps, T2 maps, and within-bin off-resonance frequency maps—are generated using a magnetic resonance fingerprinting (“MRF”) framework.