SWIFT-MRI Magnetic Particle Localization via Phase Flattening
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Solution Overview
Problem
Current magnetic resonance imaging (MRI) systems are inadequate for effectively imaging tissue with magnetically susceptible elements, often resulting in undesirable artifacts and negative contrast, which complicates the detection and quantification of magnetic particles.
Innovation Solution
The implementation of a phase flattening algorithm and post-processing techniques, specifically using Sweep Imaging with Fourier Transform (SWIFT) or ultrashort TE (UTE) methods, to obtain short dead time complex MRI images, allowing for the detection and quantification of magnetic particles by analyzing the imaginary component and applying a fitting algorithm to determine field strength and mass of iron particles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional MRI imaging is used to image tissue with magnetically susceptible elements, then the imaging process can be performed with standard sequences, but the result is undesirable artifacts and negative contrast that complicate detection and quantification
Solution Approach 1:
The patent changes the imaging parameters by using ultrashort echo time (UTE) sequences with TE < 100 microseconds instead of conventional MRI sequences. This parameter change allows the system to capture signals before susceptibility artifacts can develop, thereby improving magnetic particle detection precision while reducing susceptibility artifacts. The phase flattening algorithm further processes the data to eliminate remaining phase errors.
Solution Approach 2:
The patent applies preliminary phase correction and flattening algorithms during the image acquisition and processing stages. By pre-correcting phase errors and applying flattening algorithms before final image reconstruction, the system prevents susceptibility artifacts from corrupting the magnetic particle signals, thereby improving detection precision.
2Reliability
If conventional MRI sequences are used, then the imaging protocol is simple and widely compatible, but the system cannot effectively detect and quantify magnetic particles due to signal loss and artifacts
Solution Approach 1:
The patent employs ultrashort echo time (UTE) imaging sequences with specifically optimized parameters including TE < 100 microseconds, specific flip angles, and gradient echo techniques. These parameter changes enable reliable magnetic particle detection by capturing signals before they are corrupted by susceptibility effects, while the phase flattening algorithm maintains system compatibility through post-processing.
Solution Approach 2:
The patent introduces phase flattening algorithms and specialized processing intermediaries between the raw MRI signal acquisition and final image reconstruction. These intermediary processing steps bridge the gap between conventional MRI systems and the requirements for reliable magnetic particle detection, enhancing detection reliability without requiring complete system redesign.
3Manufacturing precision
If standard MRI imaging is performed, then the acquisition time is reasonable and the workflow is established, but motion artifacts and susceptibility artifacts degrade the image quality and quantification accuracy
Solution Approach 1:
The patent applies phase flattening and motion correction algorithms as preliminary processing steps before quantification analysis. By pre-correcting phase errors and compensating for motion effects during the acquisition and reconstruction phases, the system improves quantification accuracy by removing artifacts before they can interfere with magnetic particle mass measurement.
Solution Approach 2:
The patent uses ultrashort echo time sequences with specifically tuned acquisition parameters that minimize the window for motion-induced phase errors to develop. The rapid acquisition inherent in UTE sequences, combined with phase correction algorithms, improves quantification accuracy by reducing both motion and susceptibility artifacts simultaneously.
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 enables improved detection and quantification of magnetic particles, reducing motion artifacts and susceptibility artifacts, and providing positive contrast imaging suitable for applications like cancer diagnosis and stem cell tracking, with enhanced sensitivity and specificity.
Implementation Method 1
images generated using magnetic resonance can exhibit undesirable artifacts
Implementation Method 2
tissue including magnetically susceptible elements can yield an image with negative contrast
Data Source
AI summary
Positive contrast localization of magnetic (e.g. superparamagnetic) particles in vivo or in vitro by means of SWIFT-MRI using the imaginary component of MR image data in combination with an anatomic reference image derived from the real or magnitude component.