MRI Inversion Time Automation via Single-Line T1 Mapping

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Solution Overview

Problem

Current MRI systems require manual and time-consuming adjustments of inversion time (TI) for optimal image contrast, especially after the injection of T1-shortening contrast agents, leading to potential misdiagnosis due to suboptimal TI settings.

Innovation Solution

An automated method for determining and adjusting TI using single-line acquisition and automatic compartment detection, where a readout line is positioned through a compartment of interest, magnetization is inverted, and data is read out at multiple times to calculate T1 values for each pixel, allowing for precise adjustment of TI for desired magnetization in the image.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual TI adjustment is used by scanner operators, then TI can be set based on experience, but the process is time-consuming and operator-dependent leading to suboptimal settings

Engineering Contradiction:
ImproveTI setting accuracyVSAvoidTime for TI adjustment
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-adjustment of TI by automatically detecting compartments, calculating T1 values, and determining optimal TI settings without requiring manual intervention from the scanner operator. The automated workflow includes positioning the readout line, inverting magnetization, reading data at multiple times, calculating T1 values for each pixel, and determining the optimal TI based on the compartment of interest, all executed autonomously by the MRI system.

Inventive Principle:
Principle #25Self-service

2Reliability

If TI is continuously re-adjusted to account for contrast agent clearance, then optimal image contrast is maintained, but the complexity of the imaging process increases and requires more operator intervention

Engineering Contradiction:
ImproveImage contrast consistencyVSAvoidImaging process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary automated calculations of T1 values and optimal TI settings before the actual imaging sequence is executed. By pre-determining the TI based on compartment detection and T1 measurement, the system eliminates the need for continuous manual re-adjustment during imaging, maintaining contrast consistency while reducing operational complexity.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from the detected compartment characteristics and calculated T1 values to automatically adjust and optimize the TI setting. The automated measurement of T1 relaxation times provides real-time feedback that guides the selection of optimal inversion time, ensuring consistent image contrast without requiring operator intervention.

Inventive Principle:
Principle #23Feedback

3Ease of operation

If automated TI determination is implemented, then operator intervention is reduced and consistency is improved, but the initial setup and measurement process requires additional steps

Engineering Contradiction:
ImproveOperator intervention requirementVSAvoidMeasurement process steps
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The MRI system integrates multiple functions into a single automated workflow: compartment detection, T1 value calculation, and optimal TI determination are all performed by the same system that executes the imaging sequence. The readout line positioning and magnetization inversion are incorporated into the existing imaging pulse sequence, making the automated TI determination a multi-functional process that adds value without requiring separate dedicated equipment.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 method simplifies the operation of MRI scanners by automatically setting TI, reducing operator intervention and ensuring consistent image contrast across all times post-contrast agent injection, thereby improving diagnostic accuracy and reducing the risk of missed abnormalities.

Implementation Method 1

magnetic resonance imaging (MRI) scanners use strong magnetic fields, radio waves, and field gradients to form images of a patient

Methodology Applied
Scientific EffectMagnetic resonance: Magnetic Field

Implementation Method 2

inverting magnetization within the readout line by playing an inversion pulse

Methodology Applied
Scientific EffectMagnetization inversion: Electromagnetic Induction

Implementation Method 3

reading out data along the readout line at a predetermined number of times after play of the inversion pulse

Methodology Applied
Scientific EffectMagnetic resonance signal detection: Electromagnetic Induction

Implementation Method 4

The inverted magnetization recovers exponentially with T1, which is a tissue property

Methodology Applied
Scientific EffectT1 relaxation: Stress Relaxation

Data Source

PatentUS10145920B2Magnetic resonance imaging (MRI) systems and methods for determining and adjusting inversion time (TI) using single-line acquisition and automatic compartment detection
Publication Date: 2018.12.04 DUKE UNIV
  • US10145920B2 patent drawing
  • US10145920B2 patent drawing
  • US10145920B2 patent drawing

AI summary

Magnetic resonance imaging (MRI) systems and methods for determining and adjusting TI using single-line acquisition and automatic compartment detection. A method includes positioning a readout line of the MRI scanner through a compartment of interest of a region of interest in a subject. The method includes inverting magnetization within the readout line by playing an inversion pulse; and reading out data along the readout line after play of the inversion pulse. The method also includes determining a T1 value for each pixel along the readout line; determining the pixels that belong to first and second portions within the compartment of interest; determining a T1 value of each of the first and second portions by averaging the pixels within each portion; and determining an inversion time based on the determined T1 values such that the compartment of interest has a desired magnetization in an image to be acquired.