Multi-Wavelength Laser Feedback Control for In Vivo Tissue Ablation
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Solution Overview
Problem
Existing laser-based in vivo procedures face inefficiencies due to changes in tissue composition during the procedure, leading to prolonged operation times and potential tissue obscuration, as parameters are set for highly vascularized tissue but may encounter less vascularized tissue, and wavelength absorption can cause carbonization, making it difficult to accurately view the target site.
Innovation Solution
A system with multiple laser modules emitting different wavelengths, controlled by a feedback analyzer and controller, adjusts laser activation based on real-time tissue characteristics, such as fluorescence, reflection, or scattering signals, to optimize tissue removal and visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If laser parameters are set to efficiently remove highly vascularized tissue, then tissue removal efficiency for vascularized tissue is improved, but tissue removal efficiency decreases when encountering less vascularized tissue
Solution Approach 1:
The laser system dynamically adjusts parameters based on real-time tissue composition detection. The controller modifies laser settings (wavelength, pulse duration, energy level) during the procedure according to feedback from tissue analysis, enabling the system to adapt from highly vascularized to less vascularized tissue conditions and maintain optimal removal efficiency throughout.
Solution Approach 2:
The system incorporates real-time feedback mechanisms where tissue composition is continuously monitored during the ablation procedure. This feedback information is processed by the controller to automatically adjust laser parameters, ensuring the system responds to changing tissue conditions and maintains high removal efficiency across different tissue types.
2Length of stationary object
If laser wavelength is increased to penetrate deeper into tissue, then ablation depth is improved, but tissue obscuration by smoke and carbonization increases
Solution Approach 1:
The system changes laser parameters (wavelength, energy level, pulse characteristics) based on real-time tissue conditions and depth requirements. By dynamically adjusting these parameters, the system achieves adequate penetration depth while minimizing excessive energy absorption that causes carbonization and smoke generation, thereby maintaining visibility of the target site.
3Productivity
If laser energy is increased to remove tissue faster, then productivity is improved, but tissue carbonization and obscuration increase
Solution Approach 1:
The system employs pulsed laser delivery with controlled pulse durations and intervals rather than continuous high-energy delivery. This periodic action allows for more controlled energy deposition that maintains high removal speed while preventing excessive heat accumulation and carbonization of the tissue.
Solution Approach 2:
The controller dynamically adjusts laser energy levels and pulse parameters based on real-time tissue response and composition detection. This enables the system to optimize the balance between removal speed and carbonization prevention by adapting energy delivery to actual tissue conditions throughout the procedure.
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
The system enables real-time adjustment of laser parameters to match changing tissue conditions, enhancing efficiency and visibility, thereby optimizing the ablation process and reducing procedure duration.
Implementation Method 1
A system with multiple laser modules emitting different wavelengths, controlled by a feedback analyzer and controller, adjusts laser activation based on real-time tissue characteristics
Implementation Method 2
fluorescence response light signals from the target site in response to illumination of the target site can be used to determine a characteristic of the target site
Implementation Method 3
reflection, absorption, scattering, or other response light signals from the target site in response to illumination of the target site
Implementation Method 4
absorption, scattering, or other response light signals from the target site in response to illumination of the target site
Implementation Method 5
absorption, scattering, or other response light signals from the target site in response to illumination of the target site
Data Source
AI summary
A laser can be controlled based on different tissue compositions, such as in real time. After a first time period, a first composition of a in vivo target site can be identified. Based on the first composition, a plurality of lasers can be controlled to emit light at a first wavelength where controlling includes activating a first combination of the plurality of lasers. After a second time period, a second composition of the in vivo target site different from the first composition can be identified. Based on the second composition, a plurality of lasers can be controlled to emit light at a second wavelength, such as can include activating a second combination of the plurality of lasers. The first combination of the plurality of lasers can be different from the second combination of the plurality of lasers.