Endoscope Lesion Probability Calculation for Hollow Organ Inspection
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Solution Overview
Problem
Endoscopy procedures often face challenges in thoroughly observing the inside of hollow organs within a short time, leading to potential missed lesions due to observational restrictions.
Innovation Solution
A medical system that includes an endoscope with a magnetic sensor for spatial disposition tracking, an image processing device, and an examination assistance device to calculate the presence probability of lesions in unobserved regions using real-time imaging and spatial data, generating an examination plan for efficient and comprehensive observation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If endoscopy is conducted to observe the inside of hollow organs, then lesions can be detected early, but the examination time is extended and observation may be incomplete due to time constraints
Solution Approach 1:
The system performs preliminary actions by calculating the presence probability of lesions in not-yet-observed regions before the actual observation is completed. By using spatial disposition information and images from observed regions, the system predicts where lesions may exist in unobserved areas, allowing the examiner to prioritize remaining regions and complete the examination more efficiently without missing potential lesions.
2Productivity
If the endoscope is moved quickly to complete the examination within a short time, then examination efficiency is improved, but the likelihood of missing lesions increases
Solution Approach 1:
The system introduces feedback by continuously calculating and updating the presence probability of lesions in not-yet-observed regions based on images and spatial information from already-observed regions. This feedback mechanism allows the examiner to adjust the examination path and prioritize high-probability areas, ensuring thorough observation even when moving the endoscope quickly through the hollow organ.
3Reliability
If the endoscope observes all regions thoroughly to ensure no lesions are missed, then lesion detection accuracy is improved, but the examination time is significantly extended
Solution Approach 1:
The system performs preliminary calculation of lesion presence probabilities in unobserved regions before the examiner completes the full examination. This allows prioritization of high-risk areas, enabling the examiner to spend more time on regions with high lesion probability while quickly passing through low-risk areas, thus maintaining high detection accuracy without significantly extending total examination time.
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 early detection and treatment of lesions by providing real-time auxiliary information and an examination plan that considers unobserved regions, reducing the likelihood of overlooking lesions and improving examination efficiency.
Implementation Method 1
an endoscope with a magnetic sensor for spatial disposition tracking
Data Source
AI summary
A medical system includes a processor. The processor is configured to calculate a presence probability of a lesion in a not-yet-observed region inside a hollow organ of a patient, the not-yet-observed region being specified on the basis of an image that has been captured by an imaging sensor of an endoscope inside the hollow organ, and spatial disposition information of a distal end of an insertion part of the endoscope.