Computer Vision Hernia Mesh Sizing System
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Solution Overview
Problem
Current methods for sizing and measuring areas of interest in surgical fields, such as hernia repair, lack accuracy and precision, often relying on visual estimates or manual measurements that can lead to inadequate mesh sizing and increased recurrence rates.
Innovation Solution
A system utilizing image processing and computer vision algorithms, including active contour models and depth disparities, to provide accurate sizing and measurement information by analyzing endoscopic images, allowing for real-time identification of defect perimeters and automatic overlay of recommended mesh sizes and shapes, which can be confirmed and adjusted by the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual estimation or manual measurement methods are used for sizing surgical sites, then the procedure is simple and quick, but measurement accuracy and precision are insufficient leading to inadequate mesh sizing
Solution Approach 1:
The patent replaces manual mechanical measurement methods with an automated image processing system that uses computer vision algorithms to analyze endoscopic images and automatically determine surgical site dimensions, eliminating the need for physical measuring tools and manual estimation
Solution Approach 2:
The system creates a digital copy of the surgical site through endoscopic imaging and processes this digital representation using image analysis algorithms, allowing precise measurement without physically manipulating the surgical site or requiring manual measurement techniques
2Reliability
If manual measuring tape is used in the surgical field, then the method is flexible and adaptable, but measurement precision and reliability are reduced due to manual manipulation difficulties
Solution Approach 1:
The patent substitutes the mechanical manual tape measurement process with an automated optical measurement system that captures images through endoscopes and computationally determines dimensions, eliminating the complexity of manually manipulating measuring tools within the surgical field
Solution Approach 2:
The image processing system automatically performs measurement analysis without requiring manual intervention or manipulation, where the system processes the captured images and generates measurements autonomously based on the surgical site appearance
3Reliability
If inadequate mesh sizing is used, then the surgical procedure is faster and simpler, but mesh tearing and recurrence rates increase
Solution Approach 1:
The system performs accurate measurement and mesh size determination before the surgical procedure begins, using preoperative endoscopic images and image processing algorithms to calculate the exact mesh dimensions needed, eliminating the need for intraoperative measurement delays
Data Source
AI summary
A system and method for aiding in the selection of a hernia mesh implant suitable for treating a hernia defect. Computer vision is applied to real time images of the hernia defect to identify the extents of the defect. A plurality of overlays, each representing a different mesh implant option, are displayed. In response to user input indicating a user's selection of a selected one of the mesh implant options, an overlay depicting the selected option is displayed over the hernia defect displayed on the image display. The displayed overlay may be shown to conform to the topography of tissue at the hernia defect.