Resonant Tissue Characterization Sensor
Solution Overview
Problem
Current tissue characterization methods using non-resonating sensors struggle to accurately differentiate between tissue types due to small differences in signal variations, limiting their ability to distinguish between tumors and normal tissue effectively.
Innovation Solution
A resonator is configured to resonate at a frequency corresponding to a free-air wavelength range of between λ and 40λ, with a conductive structure placed proximally to a tissue edge, inducing electric and magnetic fields in a near zone where the tissue effectively functions as part of the resonator, influencing its resonating values and allowing characterization by the resonating response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If non-resonating sensors are used for tissue characterization, then the device complexity is reduced, but the measurement precision deteriorates due to small differences in signal variations
Solution Approach 1:
The patent applies resonant vibration principles to electromagnetic sensors, causing the sensor to oscillate at specific resonant frequencies when placed on tissue. This resonance amplifies the electromagnetic interaction with tissue, creating distinct frequency signatures that greatly enhance the ability to differentiate between tissue types, tumors, and normal tissue compared to non-resonating sensors.
Solution Approach 2:
The invention changes the operational parameter of the sensor from static or broadband electromagnetic measurement to dynamic resonant frequency measurement. By tuning the sensor to specific resonant frequencies and analyzing the frequency response, the system achieves superior tissue characterization precision through spectral analysis rather than simple amplitude measurement.
2Measurement precision
If resonating sensors are used to enhance tissue characterization accuracy, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent applies resonant vibration principles to electromagnetic sensors, causing the sensor to oscillate at specific resonant frequencies when placed on tissue. This resonance amplifies the electromagnetic interaction with tissue, creating distinct frequency signatures that greatly enhance the ability to differentiate between tissue types, tumors, and normal tissue compared to non-resonating sensors.
Solution Approach 2:
The invention changes the operational parameter of the sensor from static or broadband electromagnetic measurement to dynamic resonant frequency measurement. By tuning the sensor to specific resonant frequencies and analyzing the frequency response, the system achieves superior tissue characterization precision through spectral analysis rather than simple amplitude measurement.
3Measurement precision
If resonators with wavelength range λ to 40λ are used, then the measurement precision improves through enhanced resonating response, but the device complexity and frequency control requirements increase
Solution Approach 1:
The patent applies resonant vibration principles to electromagnetic sensors, causing the sensor to oscillate at specific resonant frequencies when placed on tissue. This resonance amplifies the electromagnetic interaction with tissue, creating distinct frequency signatures that greatly enhance the ability to differentiate between tissue types, tumors, and normal tissue compared to non-resonating sensors.
Solution Approach 2:
The invention changes the operational parameter of the sensor from static or broadband electromagnetic measurement to dynamic resonant frequency measurement. By tuning the sensor to specific resonant frequencies and analyzing the frequency response, the system achieves superior tissue characterization precision through spectral analysis rather than simple amplitude measurement.
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 enhances the accuracy and resolution of tissue characterization, enabling better differentiation between tissue types, particularly in distinguishing tumors from normal tissue, by leveraging the resonating effect to effectively characterize tissue electromagnetic properties.
Implementation Method 1
the sensor is configured to induce electric and magnetic fields, in a near zone, in the tissue
Implementation Method 2
the resonator is configured to resonate at a frequency which corresponds to a free-air wavelength range of between about λ and about 40λ
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
A sensor for tissue characterization is provided, comprising: a resonator, configured to be placed proximally to an edge of a tissue for characterization, without penetrating the tissue, the resonator comprising a conductive structure associated with a diameter-equivalent dimension D, in a plane substantially parallel with the edge, and with a feature size d; and at least one conductive lead, for providing communication with an external system, wherein the resonator is configured to resonate at a frequency which corresponds to a free-air wavelength range of between about lambda and about 40lambda, wherein lambda is at least about ten times the diameter-equivalent D, and wherein upon receiving a signal in the range of between about lambda and about 40lambda, the sensor is configured to induce electric and magnetic fields, in a near zone, in the tissue, the near zone having a diameter of about D, so that the tissue in the near zone effectively functions as part of the resonator, influencing its resonating values, and so the tissue in the near zone is thereby characterized by its electromagnetic properties, by the resonating response of the resonator.