T2 MRI Fat Suppression Signal Correction
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Solution Overview
Problem
Current T2 magnetic resonance imaging systems face challenges in accurately measuring short T2 relaxation times in musculoskeletal tissues due to overlap between fat suppression pulses and MR signal peaks, leading to reduced signal quality and difficulty in detecting pathological changes.
Innovation Solution
A method and system for T2 MRI with fat suppression that involves acquiring MR signals, applying a fitting model to generate correct T2 values and incorrect spin densities, and using correction factors based on the bandwidth of the fat suppression signal to adjust spin densities, thereby correcting for attenuation and improving signal accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If fat suppression pulses are applied to suppress fat signals, then fat signal suppression is improved, but short T2 tissue signals are attenuated due to overlap with MR signal peaks
Solution Approach 1:
The patent applies preliminary fat suppression pulses before acquiring the MR signal to pre-attenuate fat signals. This preliminary action reduces fat signal interference in the subsequent MR acquisition, allowing better differentiation between fat and short T2 tissue signals while minimizing overlap effects on short T2 measurements
Solution Approach 2:
The patent applies different inversion times (TI) and fat suppression parameters to different tissue types. By optimizing the inversion time specifically for short T2 tissues while applying fat suppression, the system achieves local quality optimization where fat signals are suppressed without excessively attenuating short T2 tissue signals
2Device complexity
If conventional fitting models are applied to MR signals, then processing simplicity is maintained, but spin density accuracy is compromised due to uncorrected fat suppression effects
Solution Approach 1:
The patent implements a feedback mechanism where the fitting model iteratively adjusts spin density estimates based on the measured signal attenuation from fat suppression pulses. The model uses the known fat suppression pulse characteristics to feedback-correct the spin density calculations, improving accuracy while maintaining computational efficiency through structured iterative refinement
Solution Approach 2:
The patent modifies the fitting model parameters to account for fat suppression effects. By changing the model to include correction factors based on fat suppression pulse bandwidth and timing, the system accurately separates fat signal attenuation from short T2 tissue signal decay without requiring complex processing architectures
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 enhances the accuracy of T2 MRI by correcting spin densities and improving the measurement of short T2 components, leading to better detection of pathological changes and improved imaging capabilities.
Implementation Method 1
Many MRI systems use superconductive magnets to scan a subject/patient via imposing a strong main magnetic field on the nuclei in the subject to be imaged. The nuclei are excited by a radio frequency (RF) signal/pulse transmitted by a RF coil at characteristics NMR (Larmor) frequencies.
Implementation Method 2
FS pulses usually have significant overlap with the MR signal peaks of tissues having relatively short T2 times. The overlap of FS pulses with the MR signal peaks of tissues having short T2 times often results in measureable reductions in the MR signals of such tissues
Data Source
AI summary
A method for performing magnetic resonance imaging of an object is provided. The method includes acquiring MR signals from the object via an MRI system, and generating correct T2 values and incorrect spin densities by applying a fitting model to the MR signals. The method further includes generating one or more correction factors, and generating corrected spin densities based at least in part on the incorrect spin densities and the one or more correction factors. The one or more correction factors are based at least in part on the correct T2 values and a bandwidth of a fat suppression signal applied to the object.