Single-Parameter T1 Estimation in MRI Processing
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Solution Overview
Problem
Existing methods for estimating T1 relaxation times in MRI images are inefficient and prone to inaccuracies due to the use of multi-parameter models, which require extensive computational resources and may get trapped in local optima, leading to increased scan times and patient discomfort.
Innovation Solution
A method using a model with a single adjustable parameter to estimate T1 times by fitting data points from MR images acquired at different times after a preparation pulse, allowing for an exhaustive search and reducing the need for multiple images, thereby improving accuracy and reducing scan time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-parameter models are used to estimate T1 relaxation times, then measurement precision may be improved, but device complexity and computational resources increase
Solution Approach 1:
The patent extracts only the essential parameter (T1 relaxation time) from the complex multi-parameter fitting process. By using a single-parameter exponential recovery model, it removes unnecessary parameters while maintaining clinical accuracy, thereby reducing computational complexity without sacrificing measurement precision
Solution Approach 2:
The patent changes the modeling approach from multi-parameter to single-parameter estimation. This parameter reduction transforms the computational problem from requiring extensive resources to being solvable with simple exhaustive search, directly resolving the contradiction between accuracy and complexity
2Measurement precision
If multi-parameter models are used to estimate T1 relaxation times, then measurement precision may be improved, but loss of time increases
Solution Approach 1:
By extracting only the essential T1 parameter and eliminating redundant parameters from the fitting process, the patent enables faster computation. The simplified model can be solved exhaustively without getting trapped in local optima, significantly reducing scan time while maintaining accuracy
Solution Approach 2:
The patent skips the iterative optimization process required by multi-parameter models and directly computes the single-parameter solution. This allows rushing through the calculation quickly using exhaustive search, avoiding time-consuming iterative convergence while maintaining measurement precision
3Measurement precision
If multiple MR images are acquired for T1 mapping, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent uses partial action by acquiring only the minimum necessary number of images (as few as two) to adequately sample the T1 recovery curve. This partial sampling is sufficient for the simplified single-parameter model, reducing scan time while maintaining adequate measurement precision through the efficient fitting algorithm
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 more accurate and robust T1 mapping with a potential reduction in scan time, improving patient comfort and cost-effectiveness by allowing for exhaustive searches within clinical time and resource constraints.
Implementation Method 1
T1 relaxation time constant, also known as the spin-lattice or longitudinal relaxation time, is a measure of how fast the nuclear spin magnetization returns to its equilibrium state after an excitation pulse
Data Source
AI summary
A method of estimating a longitudinal magnetic relaxation T1 time for a region of a subject. The method includes providing a computer with at least two magnetic resonance (MR) images of the region of the subject that were respectively acquired at different times after the generation of a preparation pulse during a MR pulse sequence; in said computer, analyzing said at least two MR images in order to obtain, from the same location in each of the MR images, a pixel value, wherein each of the pixel values and the time at which their respective MR image was acquired form a data point; and in said computer, fitting the data points to a model representing said longitudinal magnetic relaxation by varying a single adjustable parameter to estimate the T1 time constant for the region of interest, wherein the single adjustable parameter represents a T1 time constant within the model.