Dynamic MRI T1-Weighted Imaging via Multi-Parameter Division
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Solution Overview
Problem
In T1 weighted dynamic imaging, non-T1 factors such as proton density, T2* relaxation effect, and receiving coil sensitivity introduce errors and biases to signal analysis, affecting image reconstruction and physiological analysis.
Innovation Solution
Collect multiple MR data sets based on varying scan parameters and perform division operations to determine second MR data sets that minimize the influence of non-T1 factors, generating T1 weighted images with improved accuracy and sensitivity to T1 shortening effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional T1 weighted dynamic imaging is performed without correction, then the imaging process is simple and fast, but non-T1 factors (proton density, T2* relaxation, coil sensitivity) introduce errors and biases to signal analysis
Solution Approach 1:
The patent applies parameter changes by acquiring MR data at multiple different flip angles and repetition times (TR values). By varying these scan parameters and performing division operations on the acquired data sets, the method eliminates non-T1 factors (proton density, T2* relaxation, coil sensitivity) to produce corrected T1-weighted images with improved accuracy.
2Measurement precision
If multiple MR data sets are acquired and processed to eliminate non-T1 factors, then image accuracy is improved, but the imaging time and data processing complexity increase
Solution Approach 1:
The patent implements preliminary action by acquiring all necessary MR data sets at different flip angles and TR values in advance, before the actual T1-weighted image reconstruction. This preliminary data acquisition phase allows for subsequent division operations that eliminate non-T1 factors, ensuring accurate T1-weighted imaging without requiring repeated scans.
3Quantity of substance
If standard T1 weighted imaging is used, then the workflow is straightforward, but contrast agent dose requirements are higher to achieve sufficient signal contrast
Solution Approach 1:
The patent replaces the mechanical approach of increasing contrast agent dose to improve signal contrast with a computational method. By performing division operations on MR data sets acquired at different flip angles and TR values, the method mathematically eliminates non-T1 factors and enhances T1-weighted contrast, allowing for reduced contrast agent dosage while maintaining imaging quality.
Data Source
AI summary
A method for magnetic resonance imaging (MRI) may include obtaining a plurality of first magnetic resonance (MR) data sets related to a region of interest (ROI) of a subject. The plurality of first MR data sets may be collected based on two or more different values of a scan parameter. The method may also include determining a plurality of second MR data sets based on the plurality of first MR data sets. Each of the plurality of second MR data sets may correspond to at least two of the plurality of first MR data sets. The method may also include generate, based on the plurality of second MR data sets, a plurality of T1 weighted images of the ROI each of which corresponds to a target time point.