Surgical Eye Identification Using Body Imaging and Pre-Op Data
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Solution Overview
Problem
Existing ophthalmic information processing devices require time-consuming and effort-intensive imaging processes to identify the surgical eye during surgery, increasing the burden on patients and potentially delaying the start of surgery.
Innovation Solution
An ophthalmic system that includes an imaging device to capture a body image with a covering sheet exposing the surgical eye, a processor to determine the surgical eye using preliminary examination data and a machine learning model, and a notification device to inform the surgeon of the determination results, allowing for efficient and accurate identification of the surgical eye.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a special imaging device is used to capture anterior segment images during surgery, then measurement precision of surgical eye identification is improved, but device complexity and time consumption increase
Solution Approach 1:
The imaging device is configured to capture both body images (for surgical eye identification) and anterior segment images (for surgical verification). By making the imaging device multi-functional, the system eliminates the need for separate special imaging devices while maintaining high measurement precision for surgical eye identification.
2Measurement precision
If predetermined image processing is performed to extract characteristic portions, then measurement precision is improved, but loss of time and productivity decrease
Solution Approach 1:
The system performs image processing to extract characteristic portions of the surgical eye in advance, before surgery begins. The processor identifies and extracts key features from the captured body image, preparing the data for rapid comparison with pre-surgery images. This preliminary action ensures high measurement precision while minimizing time loss during the actual surgical procedure.
3Reliability
If pre-surgery imaging and image processing are performed, then reliability of surgical eye identification is improved, but loss of time increases
Solution Approach 1:
The system merges the capture of body images and anterior segment images into a single imaging operation. The imaging device simultaneously captures both types of images, and the processor performs combined image processing to extract characteristic portions from both images. This merging approach maintains high reliability of surgical eye identification while reducing the total time required compared to sequential imaging and processing.
Data Source
AI summary
An ophthalmic system includes: an imaging device configured to capture a body image including at least an upper body of a patient while the face of the patient is covered by a covering sheet having an opening that exposes a surgical eye, the surgical eye being an eyeball to undergo surgery; a processor configured to determine the surgical eye based on surgical eye determination information derived from the body image and preliminary examination surgical eye data of the patient, the preliminary examination surgical eye data having been registered as a result of a preliminary examination; and a notification device configured to notify a surgeon of a result of the determination regarding the surgical eye.