Surgical Microscope Tomographic Image Analysis for Ocular Safety
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Solution Overview
Problem
Current technologies do not detect or report dangerous conditions during eye surgery based on tomographic images, which are critical for ensuring surgical safety and preventing complications.
Innovation Solution
An image processing device and surgical microscope system that captures tomographic images and detects dangerous conditions such as shallow anterior chamber, IMS risk, posterior capsule rupture, nucleus drop, implant misplacement, and iris prolapse risk, generating control information to manage these conditions in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time detection of dangerous conditions is implemented during eye surgery, then surgical safety is improved, but device complexity increases
Solution Approach 1:
The patent combines the dangerous condition detection function with the existing surgical microscope system. The detection unit is integrated into the microscope, merging imaging and detection functions into a single system, thereby improving surgical safety without proportionally increasing device complexity.
Solution Approach 2:
The surgical microscope system is enhanced to perform multiple functions: traditional surgical imaging plus real-time dangerous condition detection. The same tomographic image capturing unit serves both diagnostic and safety monitoring purposes, making the system multi-functional and reducing the need for separate dedicated devices.
2Reliability
If continuous monitoring of eye conditions during surgery is implemented, then complication prevention is improved, but loss of time increases
Solution Approach 1:
The system performs continuous monitoring of eye conditions throughout the surgery by continuously capturing tomographic images and analyzing them in real-time. This continuous action ensures that dangerous conditions are detected immediately without interrupting the surgical procedure, preventing complications while minimizing time loss.
Solution Approach 2:
The detection unit automatically analyzes tomographic images and identifies dangerous conditions without requiring manual intervention or separate monitoring steps. The system serves itself by autonomously performing detection and generating alerts, thereby preventing complications without adding significant time overhead.
3Measurement precision
If automated detection of dangerous conditions is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces manual visual assessment with automated image processing and analysis algorithms. The detection unit automatically analyzes tomographic images to identify dangerous conditions, improving measurement precision through computational methods rather than mechanical or manual inspection.
Solution Approach 2:
The system creates digital copies of the eye's internal structure through tomographic imaging and analyzes these copies automatically. By working with digital representations rather than direct physical measurement, the system achieves high precision in detecting dangerous conditions while keeping the physical device structure relatively simple.
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
Enables the detection and reporting of dangerous conditions during eye surgery, allowing for timely intervention and prevention of complications, thereby enhancing surgical safety and outcomes.
Implementation Method 1
The OCT is a technique of generating an image by irradiating an eye subject to surgical procedures with near infrared light and by reconstructing waves reflected by each tissue of the eye
Data Source
AI summary
The present technology relates to an image processing device, a method of image processing, and a surgical microscope that can detect and report a dangerous condition on the basis of a tomographic image during eye surgery.An image processing device includes: a dangerous condition detection unit configured to detect a dangerous condition on the basis of a tomographic image of an eye acquired during surgery of the eye; and a control information generation unit configured to generate and output control information used to manage the detected dangerous condition. The present technology is applicable to, for example, a surgical system used for eye surgery or other surgical procedures.