Phase-Enhanced UTE MRI for Bone Imaging Fat Suppression
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Solution Overview
Problem
Traditional MRI methods struggle to accurately present and segment structural and supportive connective tissue, such as bones, due to the short T2 relaxation times of these materials, which results in poor image quality and challenges in fat suppression, leading to attenuation of weak signals from hard materials.
Innovation Solution
The implementation of phase-enhanced ultrashort echo time (UTE) imaging with defined short T2 threshold limits, using multi-echo UTE responses, phase and frequency component identification, and biexponential signal decay fitting algorithms to create phase masks for enhanced fat suppression and improved image presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional MRI pulse sequences are used to image hard materials, then the imaging modality remains non-invasive, but the short T2 relaxation times cause weak signals that appear dark in images
Solution Approach 1:
The patent applies ultrashort echo time (UTE) pulse sequences that dramatically reduce the echo time parameter to capture signals from hard materials before they decay, and uses phase-enhanced processing with complex dataset analysis to separate and enhance short T2 components from long T2 fat signals
Solution Approach 2:
The patent segments the magnetic resonance signal into distinct phase components (short T2 and long T2) and frequency components, then applies separate processing to each component to enhance hard material signals while suppressing fat signals
2Quantity of substance
If traditional fat suppression techniques are applied to UTE imaging, then fat signals are reduced, but the weak signals from hard materials are also attenuated
Solution Approach 1:
The patent segments the signal into short T2 and long T2 components through phase-enhanced processing, then selectively suppresses only the long T2 fat components while preserving the short T2 hard material components
Solution Approach 2:
The patent applies different processing treatments to different signal components: phase-enhanced processing with complex dataset analysis is applied specifically to short T2 components, while traditional fat suppression is applied to long T2 components
3Measurement precision
If CT imaging is used to achieve high quality images of structural and supportive connective tissue, then image quality is improved, but harmful radiation is applied to the patient
Solution Approach 1:
The patent uses UTE pulse sequences with ultrashort echo times to capture signals from hard materials that traditionally have very short T2 relaxation times, making MRI viable for imaging bone and other structural tissues without radiation
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
This approach effectively suppresses long T2 components, enhancing the visibility and segmentation of bones in MRI images, comparable to CT imaging quality, while maintaining the non-invasive nature of MRI.
Implementation Method 1
many solid anatomical materials have relaxation times on the order of 100 microseconds. This short relaxation time results in a small magnetic resonance signal
Implementation Method 2
Each phase component is associated with a T2 relaxation time within the short T2 threshold limits, while each frequency component is associated with the T2 relaxation time within the short T2 threshold limits
Data Source
AI summary
A computer-implemented method of performing magnetic resonance imaging with ultra-short echo time pulse sequences includes defining short T2 threshold limits for enhancement. A multi-echo ultra-short echo time response is acquired and a complex dataset is determined based on the multi-echo ultra-short echo time response. A plurality of phase components is identified from the complex dataset, wherein each phase component is associated with a T2 relaxation time within the short T2 threshold limits. A plurality of frequency components is also identified from the complex dataset, wherein each frequency component is associated with the T2 relaxation time within the short T2 threshold limits. Next, a magnitude dataset is derived from the complex dataset and a fitting algorithm is applied to the magnitude dataset to yield a plurality of magnitude components, wherein each magnitude component is associated with the T2 relaxation time within the short T2 threshold limits. A plurality of phase masks are created based on the plurality of phase components and the plurality of frequency components. These phase masks are applied to the magnitude dataset to obtain a combined dataset. Then, an image based on the combined dataset may be presented on a display.