Multi-Echo Steady-State MRI With Adapted Dixon Fat Suppression
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Solution Overview
Problem
Current 3D DESS sequences with water excitation, such as MENSA, fail to completely suppress fat signals due to system imperfections like B0 and B1 inhomogeneities, which affects the quality of MR neurography by obscuring nerve depiction within fat pads.
Innovation Solution
A multi-echo steady-state sequence with an adapted Dixon technique is employed, utilizing phase behavior and a region growing algorithm to identify and remove voxels with extra chemical shift phases, generating fat-removed images from magnetic resonance scan data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If water excitation is used in 3D DESS sequences, then nerve signal visibility is improved, but fat suppression becomes incomplete due to system imperfections
Solution Approach 1:
The patent introduces an intermediary fat removal technique that processes the water-excited DESS images to eliminate residual fat signals. This intermediary step takes the partially fat-suppressed images and applies additional processing to achieve complete fat suppression while preserving the nerve signal enhancement provided by water excitation.
Solution Approach 2:
The patent modifies imaging parameters by acquiring multiple echoes with different timing and applying specific reconstruction algorithms. By changing the echo timing parameters and using multi-echo data, the system achieves both nerve signal enhancement and complete fat suppression that cannot be obtained with single-echo sequences alone.
2Reliability
If multi-echo steady-state sequence with adapted Dixon technique is used, then fat suppression is significantly enhanced, but processing complexity increases
Solution Approach 1:
The patent segments the fat removal process into distinct steps: generating multiple echo images, calculating phase differences between echoes, identifying fat-containing voxels based on phase criteria, and removing fat signals from each echo image separately. This segmentation makes the complex processing more manageable and systematic.
Solution Approach 2:
The patent performs preliminary actions by first generating all necessary echo images and calculating phase difference maps before actually removing fat signals. By pre-calculating the phase information and identifying fat locations in advance, the subsequent fat removal process becomes more efficient and less computationally intensive.
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 significantly enhances fat suppression, improving nerve depiction and diagnostic confidence in musculoskeletal MRI and neurography by maintaining muscle signal integrity while reducing fat interference.
Implementation Method 1
The resulting set of received nuclear magnetic resonance (NMR) signals are digitized and processed to reconstruct the image
Implementation Method 2
the individual magnetic moments of the spins in the tissue attempt to align with this polarizing field, but process about it in random order at their characteristic Larmor frequency
Implementation Method 3
When utilizing these signals to produce images, magnetic field gradients (Gx, Gy, and Gz) are employed
Implementation Method 4
identifying, via the processor, voxels in the echo phase difference image having an extra chemical shift phase
Data Source
AI summary
A computer-implemented method for suppressing fat in reconstructed magnetic resonance imaging data includes generating, via a processor, a first echo image and a second echo image from magnetic resonance scan data acquired of a subject with a magnetic resonance scanner utilizing a multi-echo steady state sequence. The computer-implemented method also includes estimating, via the processor, an echo phase difference between the first echo image and the second echo image to generate an echo phase difference image. The computer-implemented method further includes identifying, via the processor, voxels in the echo phase difference image having an extra chemical shift phase. The computer-implemented method even further includes removing, via the processor, signals of the voxels identified having the extra chemical shift phase in both the first echo image and the second echo image to generate a first fat-removed image and a second fat-removed image, respectively.


