Spectroscopic Laser Feedback Control for Real-Time Tissue Targeting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional endoscopic laser therapy lacks accurate real-time monitoring of tissue composition during procedures, leading to inefficient and potentially harmful laser application, as it relies on manual recognition and biopsy for tissue analysis, which is time-consuming and cannot continuously monitor tissue changes.
Innovation Solution
A spectroscopic feedback control system that uses a feedback analyzer and laser controller to continuously monitor tissue composition through an endoscope, adjusting laser settings based on real-time spectroscopic data to optimize laser delivery and avoid non-target tissue exposure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recognition and biopsy are used for tissue analysis, then tissue composition can be identified, but the process is time-consuming and cannot continuously monitor tissue changes
Solution Approach 1:
The patent replaces manual mechanical biopsy procedures with optical spectroscopic detection. The spectroscopic sensor detects tissue composition through light interaction, eliminating the need for physical tissue sampling and manual analysis, thereby enabling continuous real-time monitoring without time loss.
Solution Approach 2:
The system implements continuous feedback by using spectroscopic sensors to monitor tissue composition in real-time during laser therapy. The detected spectral data is continuously analyzed and fed back to adjust laser parameters dynamically, enabling ongoing tissue characterization without interrupting the treatment flow.
2Productivity
If laser energy is delivered without real-time monitoring, then treatment can proceed quickly, but inaccurate tissue identification may lead to harmful laser application
Solution Approach 1:
The system performs preliminary spectroscopic detection of tissue composition before delivering laser energy. This advance identification of target tissue characteristics allows the laser parameters to be pre-adjusted to match the specific tissue type, ensuring safe and effective treatment from the outset without trial-and-error exposure.
Solution Approach 2:
Real-time feedback from spectroscopic sensors continuously monitors tissue composition during laser delivery. When tissue characteristics change or non-target tissue is detected, the system immediately adjusts or stops laser application, preventing harmful exposure while maintaining treatment efficiency.
3Reliability
If spectroscopic feedback control system is implemented, then real-time tissue monitoring is achieved, but system complexity increases
Solution Approach 1:
The spectroscopic sensor serves multiple functions: it identifies tissue composition, monitors treatment progress, and provides feedback for parameter adjustment. This multi-functionality consolidates what could be separate systems into a single integrated component, reducing overall system complexity while maintaining high reliability.
Solution Approach 2:
The system uses the same optical fiber that delivers laser energy to also collect spectroscopic feedback signals. This self-service approach eliminates the need for separate sensing fibers or additional access channels, simplifying the system architecture while enabling real-time monitoring and adaptive control.
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 precise and efficient laser treatment by continuously identifying tissue composition, allowing for instant adjustments in laser settings during procedures, reducing treatment time and improving therapeutic outcomes in applications like laser lithotripsy and soft tissue ablation.
Implementation Method 1
a feedback analyzer for receiving signals from a target tissue using a spectroscopic sensor, the signals comprising a first signal indicative of one or more spectroscopic properties of a target tissue
Implementation Method 2
Laser or plasma systems have been used for delivering surgical laser energy to various target treatment areas such as soft or hard tissue. Examples of the laser therapy include ablation, coagulation, vaporization, fragmentation, etc.
Implementation Method 3
The laser system may be any type of laser system known to those of skill in the art and include, but are not limited to, carbon dioxide (CO2) lasers, holmium:yttrium aluminum garnet (Ho:YAG) lasers, thulium:yttrium aluminum garnet (Tm:YAG) lasers, erbium:yttrium aluminum garnet (Er:YAG) lasers, diode lasers, neodymium:yttrium aluminum garnet (Nd:YAG) lasers, and other types of lasers
Data Source
AI summary
Systems, devices, and methods for delivering laser energy directed toward target tissue using a spectroscopic feedback. An exemplary laser feedback control system comprises a feedback analyzer to receive a signal from a target tissue using a spectroscopic sensor, and a laser controller to determine whether the received signal generally equals a first preset. If the received signal meets the first preset, the laser controller can send a control signal to a laser system to change from a first state to a second state of the first laser system. The laser system can deliver laser energy via an optical fiber towards the target tissue.