TI Scout Sequence for Inversion Recovery MR Imaging
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Solution Overview
Problem
Adjusting the inversion time (TI) in MR imaging sequences for optimal tissue contrast is difficult and time-consuming, especially in cardiac MR and flow-independent dark blood delayed enhancement imaging, leading to suboptimal contrast and potential missed pathology.
Innovation Solution
A TI scout sequence is used to determine the optimal TI for segmented DE sequences through a series of single-shot acquisitions with varying TI values, matching the magnetic relaxation behavior of the intended sequence, allowing for efficient selection of the most suitable TI for improved contrast between tissue types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of inversion time (TI) is performed to achieve optimal tissue contrast, then image contrast quality can be improved, but the time required for adjustment and the complexity of operation increase significantly
Solution Approach 1:
The system performs preliminary action by automatically calculating and setting the optimal inversion time (TI) value before the actual imaging sequence begins. The processor computes the TI value based on the desired nulling depth and tissue T1 characteristics, eliminating the need for manual trial-and-adjustment during the imaging process. This preliminary calculation ensures optimal contrast is achieved without time-consuming manual intervention.
Solution Approach 2:
The system implements self-service by enabling the imaging system to automatically determine and adjust the inversion time parameter without requiring operator intervention. The processor autonomously calculates the optimal TI value based on input parameters (nulling depth and T1 value) and configures the imaging sequence accordingly, allowing the system to serve itself in optimizing imaging parameters.
2Manufacturing precision
If multiple TI values are tested to find the optimal contrast, then image quality can be improved, but the number of adjustments and operational complexity increase
Solution Approach 1:
The system performs preliminary calculation of the optimal TI value using the formula TI = ln(2) × T1 / (1 - nulling depth) before the imaging sequence begins. This advance computation eliminates the need for multiple trial adjustments during operation, providing the optimal contrast setting in a single step and maintaining operational simplicity.
Solution Approach 2:
The system applies parameter changes by directly computing and setting the optimal inversion time parameter based on the desired nulling depth and measured T1 value. Rather than testing multiple TI values through trial-and-error, the system transforms the problem into a direct parameter calculation, changing the approach from iterative adjustment to formula-based determination.
3Productivity
If coarse adjustment of TI is performed due to time constraints, then operational time is reduced, but image contrast quality and diagnostic accuracy deteriorate
Solution Approach 1:
The system performs preliminary calculation of the precise optimal TI value before imaging begins, ensuring that the first image acquired uses the optimal contrast settings. This eliminates the need for subsequent adjustments and ensures both high productivity (no time lost to adjustments) and high precision (optimal contrast achieved immediately).
Solution Approach 2:
The system replaces the mechanical trial-and-adjustment process with a computational approach. Instead of manually adjusting TI values and visually evaluating contrast quality, the system uses a processor to calculate the optimal TI value mathematically based on the nulling depth and T1 value, substituting computational precision for manual optimization.
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 accurate and efficient determination of optimal TI values, reducing the time and effort required for adjusting contrast, leading to improved image quality and clinical diagnosis by maximizing the separation of normal and infarcted myocardium in cardiac MR imaging.
Implementation Method 1
For longer TIs, tissues with shorter T1 properties will recover faster and generate a greater positive signal than other tissues with longer T1 properties
Implementation Method 2
an inversion pulse is delivered after a first waiting period
Data Source
AI summary
A system comprises determination of an inversion-recovery or saturation-recovery imaging pulse sequence associated with first values of echo spacing, flip angle, effective TR, trigger pulses, artifact post-suppression, and number of image data lines per acquisition, execution of a scout pulse sequence comprising a plurality of single-shot image data acquisitions to acquire respective sets of image data lines, where each of the plurality of single-shot image data acquisitions is executed using a different respective inversion time and where each of the plurality of single-shot image data acquisitions is associated with second values of echo spacing, flip angle, and number of image data lines per acquisition which are substantially similar to corresponding ones of the first values, generation of a plurality of images based on the respective sets of image data lines, determination of one of the plurality of images, the determined one of the plurality of images generated based on a set of image data lines acquired using a first inversion time, and execution of the inversion-recovery or saturation-recovery imaging pulse sequence using the first inversion time.