Quantitative Lung MRI Ventilation Perfusion Analysis
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Solution Overview
Problem
Current diagnostic tools lack sensitivity and specificity for early detection of lung diseases, such as chronic obstructive pulmonary disease (COPD) and pulmonary hypertension, as they rely on invasive methods or radiation, which limits their utility for early diagnosis and monitoring.
Innovation Solution
A non-injectable, quantitative MRI technique that measures spatial ventilation-perfusion matching using oxygen as a contrast agent, allowing for the assessment of ventilation and perfusion ratios in the lungs without radiation, providing a non-invasive and repeatable method for evaluating lung function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current diagnostic tools are used for lung disease detection, then the diagnostic process is simpler, but the sensitivity and specificity for early detection are insufficient
Solution Approach 1:
The diagnostic process is segmented into distinct MRI sequences: a first sequence for acquiring ventilation data and a second sequence for acquiring perfusion data. This segmentation allows each sequence to be optimized for its specific measurement purpose, thereby improving detection sensitivity and specificity for different lung functions while maintaining manageable system complexity through modular design.
Solution Approach 2:
Oxygen is used as an inhaled contrast agent (intermediary) to enhance the MRI signal for ventilation measurement. The oxygen concentration in the lungs serves as a mediator that translates ventilation patterns into detectable MRI signal changes, significantly improving the sensitivity and specificity of early lung disease detection without requiring invasive procedures.
2Measurement precision
If invasive methods or radiation-based techniques are used, then diagnostic accuracy may be improved, but patient safety and repeatability are compromised
Solution Approach 1:
The patent replaces radiation-based diagnostic methods (such as CT scans) with magnetic resonance imaging. This substitution eliminates ionizing radiation exposure while maintaining high diagnostic accuracy through the use of magnetic fields and radiofrequency pulses, making the technique safe for repeated use and suitable for monitoring disease progression over time.
Solution Approach 2:
The patient's own oxygen consumption and blood flow serve as the basis for the diagnostic measurement. By utilizing physiological processes that naturally occur in the body (oxygen uptake during ventilation and blood perfusion), the method achieves high diagnostic accuracy without requiring external harmful agents or invasive procedures.
3Measurement precision
If qualitative assessment methods are used, then the evaluation process is simpler, but the quantitative measurement capability is insufficient
Solution Approach 1:
The MRI signal intensity serves as feedback that is directly related to oxygen concentration in the lungs. By measuring the signal intensity from the first MRI sequence and correlating it with oxygen concentration, the system generates quantitative ventilation data. This feedback mechanism enables precise quantitative measurement while the automated processing algorithms keep the complexity manageable.
Solution Approach 2:
The patent transforms physiological parameters (oxygen concentration, blood flow) into measurable MRI signal parameters. By changing the measurement from direct physiological observation to MRI signal intensity measurement, the system achieves quantitative capability with improved precision, while the established MRI processing techniques keep the complexity at acceptable levels.
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
Enables early detection of lung diseases, monitors disease progression, and assesses response to therapy by providing a fully quantitative, non-invasive evaluation of ventilation and perfusion distribution, enhancing diagnostic accuracy and clinical relevance.
Implementation Method 1
MRI is based on the property of nuclear magnetic resonance (NMR). NMR is a physical property in which the nuclei of atoms absorb and re-emit electromagnetic energy at a specific resonance frequency in the presence of a magnetic field.
Implementation Method 2
NMR is a physical property in which the nuclei of atoms absorb and re-emit electromagnetic energy at a specific resonance frequency in the presence of a magnetic field.
Data Source
AI summary
Methods, devices, and systems are disclosed for implementing a fully quantitative non-injectable contrast proton MRI technique to measure spatial ventilation-perfusion (VA/Q) matching and spatial distribution of ventilation and perfusion. In one aspect, a method using MRI to characterize ventilation and perfusion in a lung includes acquiring an MR image of the lung having MR data in a voxel and obtaining a breathing frequency parameter, determining a water density value, a specific ventilation value, and a perfusion value in at least one voxel of the MR image based on the MR data and using the water density value to determine an air content value, and determining a ventilation-perfusion ratio value that is the product of the specific ventilation value, the air content value, the inverse of the perfusion value, and the breathing frequency.