Endoscope Field-of-View Control via Procedural Scene Library
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Solution Overview
Problem
Existing endoscopic systems lack an efficient method for dynamically adjusting the field of view based on user input and procedural scenes, often requiring manual adjustments that increase operator workload and surgical time.
Innovation Solution
A field-of-view control apparatus and method that determines the procedural scene using endoscopic images and user input, presenting library data for adjusting the endoscope's position, attitude, and direction, allowing users to select desired adjustments through a processor-controlled system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of endoscopic field of view is used, then operator control flexibility is maintained, but operator workload increases and surgical time is extended
Solution Approach 1:
The system automatically determines the procedural scene from endoscopic images and autonomously selects appropriate library data for field of view adjustment, enabling the system to serve itself without continuous manual intervention while maintaining operational flexibility through user-selectable candidates
Solution Approach 2:
Library data representing optimal field of view parameters for various procedural scenes is pre-prepared and stored, allowing the system to quickly retrieve and apply appropriate settings without real-time manual calculation or adjustment
2Productivity
If manual field of view adjustment is used, then precise control is maintained, but surgical time is extended
Solution Approach 1:
Optimal field of view parameters for different procedural scenes are predetermined and stored in library data, enabling instant retrieval and application of precisely optimized settings that would otherwise require time-consuming manual adjustment
Solution Approach 2:
The system continuously monitors the procedural scene through endoscopic images and automatically adjusts field of view parameters based on recognized scene characteristics, maintaining precise positioning dynamically throughout the procedure
3Measurement precision
If one-to-one follow parameters are set for each tracked object, then tracking precision is improved, but system complexity increases
Solution Approach 1:
A single procedural scene classification system universally manages multiple tracked objects and their associated parameters, allowing the same scene recognition framework to handle different objects (blood vessels, nerves, tumors) without requiring separate configuration systems for each
Solution Approach 2:
Multiple object tracking parameters are merged into a unified library data structure organized by procedural scene, combining what would otherwise be separate one-to-one parameter sets into an integrated system that reduces overall complexity
Data Source
AI summary
A field-of-view control apparatus includes a processor configured to execute: determining a procedural scene; presenting a user with information related to library data for realizing a field of view associated with the procedural scene as an execution candidate for field-of-view adjustment; outputting, if the user wishes to execute the field-of-view adjustment based on the presented library data, an instruction to change a position, an attitude, or a field-of-view direction of an electric scope based on the library data; and presenting, if the user does not wish to execute the field-of-view adjustment based on the presented library data, the user with information related to other library data classified in a same procedural scene as the library data being the execution candidate as an other of the execution candidate. The library data includes at least one relative parameter related to relative positions and attitudes of the electric scope and an observation object.