Image-Based Duodenal Papilla Recognition for ERCP Cannulation Guidance
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Solution Overview
Problem
Existing medical procedures, such as ERCP examinations, face challenges in accurately determining the type of duodenal papilla, which affects the success of cannula insertion and duct intubation, especially for less experienced doctors who cannot easily refer to procedural information during the operation.
Innovation Solution
A medical support device and method using image recognition processing on intestinal wall images to specify the type of duodenal papilla, providing related information including merging formats, schemas, and assistance information to aid in medical treatments, displayed on a screen for visual support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If doctors perform ERCP examinations without image recognition support, then the procedure can be completed, but the accuracy of determining papilla type is low and procedural errors increase
Solution Approach 1:
The patent introduces an image recognition system as an intermediary between the doctor and the patient's anatomy. The system processes intestinal wall images captured during ERCP examinations, automatically identifies papilla types, and presents the results to the doctor. This intermediary layer enhances measurement precision without requiring the doctor to manually analyze complex visual data, thereby resolving the contradiction between accuracy and operational simplicity.
Solution Approach 2:
The patent replaces the mechanical/visual inspection method with an automated image recognition system. Instead of relying on the doctor's visual assessment and manual determination of papilla types, the system uses computational algorithms to analyze images and provide objective, precise classifications. This substitution significantly improves measurement precision while reducing the cognitive and temporal burden on the doctor.
2Productivity
If doctors manually determine papilla type during surgery, then real-time decision making is possible, but time consumption increases and accuracy decreases for less experienced doctors
Solution Approach 1:
The image recognition system performs self-service by automatically analyzing intestinal wall images and determining papilla types without requiring extensive manual intervention from the doctor. The system independently processes images, applies classification algorithms, and generates results that can be immediately used for surgical decision-making. This self-service capability enhances both productivity and measurement precision simultaneously.
Solution Approach 2:
The system performs preliminary analysis of papilla types before the doctor makes surgical decisions. By pre-processing images and providing predicted papilla types with confidence scores, the system prepares accurate information in advance, allowing the doctor to make informed decisions quickly. This preliminary action resolves the contradiction by providing both high accuracy and rapid results.
3Measurement precision
If image recognition processing is implemented, then papilla type accuracy improves, but the complexity of image analysis and processing increases
Solution Approach 1:
The image recognition system segments the complex task of papilla type determination into distinct processing stages: image capture, pre-processing, feature extraction, classification, and result presentation. Each stage handles a specific aspect of the analysis, reducing the overall difficulty while maintaining high accuracy. The segmentation allows the system to manage complexity through modular, specialized processing steps.
Data Source
AI summary
Provided is a medical support device including a processor. The processor is configured to specify a papilla type, which is a type of a duodenal papilla, by executing image recognition processing on an intestinal wall image obtained by imaging an intestinal wall including the duodenal papilla in a duodenum with a camera provided in an endoscope scope; and output related information related to the papilla type.