Endoscopic Injection Needle Control With Image-Based Position Adjustment
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Solution Overview
Problem
Existing surgical systems lack precise control over the injection of fluids and positioning of injection needles during procedures like ESD, leading to potential complications and inefficiencies.
Innovation Solution
A surgical system incorporating an endoscope with an imager, a medical manipulator with an injection needle, and a processor that controls the injection process based on endoscopic images, determining the success of fluid injection and adjusting the needle position accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated injection control is implemented, then operator burden is reduced, but system complexity increases
Solution Approach 1:
The system performs self-monitoring and self-adjustment through automated injection control. The processor automatically regulates injection parameters based on real-time feedback from the imager, enabling the system to service itself without continuous operator intervention, thus reducing operator burden while managing complexity through automation.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where the imager continuously captures images of the injection site, the processor analyzes the images to assess injection progress, and automatically adjusts injection parameters accordingly. This feedback loop enables automated control while maintaining manageable system complexity through intelligent processing of visual information.
2Manufacturing precision
If real-time image analysis is performed, then injection accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary setup and calibration before the actual injection process. The imager is pre-configured to capture specific views of the injection site, and the processor is pre-programmed with injection protocols and analysis algorithms. This preliminary preparation enables rapid real-time analysis during injection without excessive processing delays.
Solution Approach 2:
The system focuses image analysis on critical regions and parameters rather than processing the entire image set comprehensively. By concentrating processing resources on the most relevant visual features for injection accuracy assessment, the system achieves high precision while minimizing processing time through selective rather than exhaustive analysis.
3Manufacturing precision
If automated needle positioning is implemented, then injection precision is improved, but control complexity increases
Solution Approach 1:
The system replaces manual mechanical needle positioning with automated control based on visual feedback. The processor analyzes images to determine optimal needle position and automatically adjusts positioning, substituting complex mechanical manual操作中 with intelligent automated control that achieves higher precision while managing control complexity through software-based solutions.
Data Source
AI summary
A surgical system includes an endoscope including an imager which captures an endoscopic image, a medical manipulator with an injection needle at a distal end section thereof, a drive device which controls the medical manipulator to control a position of the injection needle, and a processor. The processor is configured to: control to inject a target amount of a injection fluid into a syringe connected to the injection needle; acquire, from the imager, the endoscopic image in which a treatment target is captured; and perform a prescribed determination to determine success/failure of injection using the endoscopic image, and control the drive device to change the position of the injection needle based on a determination result of the prescribed determination.