Endoscope Fluorescence Overlay for Heat Denaturation Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies struggle to accurately visualize and differentiate between insufficient, appropriate, and excessive heat denaturation regions during tissue treatment, leading to potential complications such as postoperative recurrence or perforation.
Innovation Solution
A medical device and endoscope system that utilizes a processor to analyze fluorescence images in conjunction with tissue images, identifying and superimposing regions of insufficient, appropriate, and excessive heat denaturation based on fluorescence intensity correlations, enabling clear differentiation in a display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fluorescence intensity thresholding is used to identify heat denaturation regions, then the visualization process is simplified, but the ability to differentiate between insufficient, appropriate, and excessive heat denaturation is lost
Solution Approach 1:
The patent segments the heat denaturation assessment into three distinct regions (insufficient, appropriate, excessive) by dividing the fluorescence intensity range into multiple thresholds. This allows detailed differentiation of heat treatment quality while maintaining a systematic visualization approach that doesn't overly complicate the process.
Solution Approach 2:
The patent applies different visual representations to different regions of the tissue based on their fluorescence intensity characteristics. Each heat denaturation region is displayed with distinct visual properties (e.g., different colors or markers) to indicate the local quality of heat treatment, enabling operators to quickly assess treatment adequacy in different areas.
2Measurement precision
If multiple heat denaturation regions are displayed with detailed differentiation, then treatment accuracy is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The patent uses color changes or distinct visual markers to represent different heat denaturation regions. By assigning specific visual characteristics to insufficient, appropriate, and excessive heat denaturation areas, the system provides precise treatment assessment through intuitive visual cues that reduce processing complexity compared to raw data analysis.
Solution Approach 2:
The patent transforms the one-dimensional fluorescence intensity data into a two-dimensional visual representation with spatial distribution. By mapping intensity values to spatial regions and using visual overlays on tissue images, the system achieves precise assessment while maintaining manageable processing requirements through graphical user interface techniques.
3Reliability
If real-time fluorescence image analysis is performed during heat treatment, then treatment monitoring is improved, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining threshold values for differentiating heat denaturation regions and preparing the visualization framework before actual treatment. This allows real-time monitoring during treatment to focus only on comparing current fluorescence intensity against predetermined thresholds, significantly reducing processing time while maintaining reliable monitoring.
Solution Approach 2:
The patent applies partial action by focusing the analysis only on regions showing fluorescence intensity changes indicative of heat denaturation, rather than processing the entire image uniformly. This selective approach reduces computational load while maintaining reliable monitoring of the critical treatment zones.
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
Enhances the ability to identify and manage heat denaturation regions accurately, reducing the risk of postoperative complications by providing clear visual cues for operators during procedures like peroral endoscopic myotomy.
Implementation Method 1
based on a taken image that captures the fluorescence generated from the body tissue when bombarded with an excitation light
Data Source
AI summary
A medical device includes a processor configured to: obtain a tissue image, obtain a fluorescence image, identify a correspondence relationship between the tissue image and the fluorescence image, obtain relationship information on a correlation between a fluorescence intensity in the fluorescence image and a degree of thermal invasiveness, identify an insufficient heat denaturation region, identify an excess heat denaturation region, identify an appropriate heat denaturation region, add heat denaturation information to the tissue image based on the correspondence relationship, superimpose the insufficient heat denaturation region, the excess heat denaturation region, and the appropriate heat denaturation region on the tissue image, and display resultant image in a display.


