AI-Augmented Retinal Surgery Visualization System
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Solution Overview
Problem
Conventional OCT systems and surgical microscopes face challenges in providing precise visualization during ophthalmic surgeries due to imaging artifacts and delays in visual output, making it difficult for surgeons to accurately interpret the surgical field, especially in minimally invasive procedures where precision is critical.
Innovation Solution
An image-guided surgical system utilizing artificial intelligence models, such as region-based convolutional neural networks, processes visual images from OCT or surgical microscopes to provide real-time augmented feedback, including instrument tracking, tissue segmentation, and collision avoidance, enhancing the surgeon's ability to navigate surgical instruments safely and effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional OCT systems and surgical microscopes are used for visualization, then the surgical field can be viewed from outside the eye, but imaging artifacts and delays in visual output make it difficult to accurately interpret the surgical field
Solution Approach 1:
The patent introduces an intermediary processing layer between the imaging system and the surgeon. This layer includes image processing algorithms that enhance visualization by reducing artifacts, improving contrast, and providing real-time feedback. The intermediary translates raw imaging data into more interpretable visual information, bridging the gap between the imaging system's output and the surgeon's need for accurate interpretation.
Solution Approach 2:
The patent replaces conventional mechanical imaging systems with advanced digital image processing and artificial intelligence algorithms. Instead of relying solely on optical mechanics, the system uses computational methods to enhance image quality, eliminate artifacts, and provide real-time analysis, thereby improving visualization accuracy without the limitations of traditional optical systems.
2Reliability
If minimally invasive surgeries are performed with small incisions, then recovery is faster and complications are reduced, but precision in instrument placement becomes more critical and difficult to achieve
Solution Approach 1:
The patent implements real-time feedback systems that provide continuous information to the surgeon about instrument position and tissue interaction. Through enhanced imaging and computational analysis, the system delivers immediate feedback on instrument placement accuracy, allowing the surgeon to make precise adjustments. This feedback loop ensures high precision in minimally invasive procedures while maintaining safety.
Solution Approach 2:
The patent employs preliminary action by using advanced imaging and planning tools before the actual surgical intervention. The system allows for pre-surgical modeling, virtual rehearsal, and precise planning of instrument trajectories. By preparing and planning in advance with high precision, the actual minimally invasive procedure can be executed with greater accuracy and safety.
3Productivity
If real-time visualization is provided during surgery, then instrument placement can be monitored, but delays in visual output reduce the effectiveness of real-time guidance
Solution Approach 1:
The patent replaces traditional mechanical imaging systems with rapid digital image processing and computational algorithms. This substitution enables real-time or near-real-time processing of imaging data, eliminating the delays inherent in conventional systems. The digital system can rapidly analyze and display visual information, providing timely guidance without sacrificing image quality or accuracy.
Solution Approach 2:
The patent employs periodic action by using high-speed sequential imaging and frame-by-frame analysis. Instead of continuous processing that might slow the system, the imaging system captures frames at high speed and processes them in rapid succession, providing real-time visualization updates that maintain both speed and accuracy in instrument placement monitoring.
Data Source
AI summary
An image-guided tool and method for ophthalmic surgical procedures is provided. The AI model develops operating image features based on the surgical instruments used in the region of interest and the phase of the surgical procedure being performed. Augmented visual images are then constructed that include the real-time visual image and the image features with additional features determined by the system.