3D Ventilation Imaging Using Distributed Thoracic Electrode Arrays
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Solution Overview
Problem
Conventional electrical impedance tomography techniques can only generate two-dimensional ventilation images, which fail to accurately reflect the ventilation status of the thoracic cavity within a three-dimensional space.
Innovation Solution
A method and apparatus for generating three-dimensional ventilation images using a three-dimensionally distributed electrode array to perform electrical impedance measurement, combined with signal extraction and image reconstruction algorithms, including lowpass filtering, principal component analysis, and neural network algorithms, to reconstruct three-dimensional ventilation images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If conventional electrical impedance tomography techniques are used, then the measurement process is simple, but the image dimensionality is limited to two-dimensional
Solution Approach 1:
The patent transitions from conventional two-dimensional electrode arrays to a three-dimensionally distributed electrode array configuration. This dimensional expansion enables the system to capture electrical impedance data from multiple spatial perspectives, allowing reconstruction of three-dimensional ventilation images that reflect volumetric changes in the thoracic cavity during respiration.
Solution Approach 2:
The three-dimensionally distributed electrode array segments the measurement space into multiple discrete measurement points and zones. By dividing the thoracic cavity into numerous small volume elements and measuring impedance changes at each segment, the system can reconstruct detailed three-dimensional ventilation distributions throughout the entire volume.
2Measurement precision
If a three-dimensionally distributed electrode array is used, then three-dimensional ventilation images can be generated, but the device complexity increases
Solution Approach 1:
The patent transitions from conventional two-dimensional electrode arrays to a three-dimensionally distributed electrode array configuration. This dimensional expansion enables the system to capture electrical impedance data from multiple spatial perspectives, allowing reconstruction of three-dimensional ventilation images that reflect volumetric changes in the thoracic cavity during respiration.
Solution Approach 2:
The patent introduces specialized signal processing algorithms and image reconstruction algorithms as intermediary components between the complex three-dimensional electrode array and the final ventilation images. These algorithms process the large volume of raw impedance data, filter noise, and reconstruct three-dimensional ventilation distributions, thereby managing the complexity of the measurement system while maintaining high measurement precision.
3Loss of information
If conventional two-dimensional imaging is used, then the system is easier to operate, but it cannot reflect three-dimensional ventilation status
Solution Approach 1:
The patent transitions from conventional two-dimensional electrode arrays to a three-dimensionally distributed electrode array configuration. This dimensional expansion enables the system to capture electrical impedance data from multiple spatial perspectives, allowing reconstruction of three-dimensional ventilation images that reflect volumetric changes in the thoracic cavity during respiration.
Solution Approach 2:
The patent introduces specialized signal processing algorithms and image reconstruction algorithms as intermediary components between the complex three-dimensional electrode array and the final ventilation images. These algorithms process the large volume of raw impedance data, filter noise, and reconstruct three-dimensional ventilation distributions, thereby managing the complexity of the measurement system while maintaining high measurement precision.
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
Generates three-dimensional ventilation images that accurately reflect the ventilation status of the human thoracic cavity within various volumes of a three-dimensional space, providing a more comprehensive view of respiratory dynamics.
Implementation Method 1
Electrical impedance tomography (EIT) is a non-invasive technique that aims to reconstructing image of an in vivo tissue by reflecting electrical resistivity distribution within a human body or other living body
Implementation Method 2
a ventilation-related signal is extracted by means of a signal extraction algorithm from an electrical impedance signal
Data Source
AI summary
A three-dimensional ventilation image generation method, and a controller and an apparatus. The method comprises: generating a three-dimensional ventilation image by means of a signal extraction algorithm and an image reconstruction algorithm and according to an electrical impedance signal obtained by performing electrical impedance measurement on a target region to be measured, wherein performing electrical impedance measurement on said target region is implemented by using an electrode array that is three-dimensionally distributed on the periphery of said target region.