Surgical Camera Positioning GUI for Faster 3D Alignment
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Solution Overview
Problem
The challenge in surgical navigation systems is the cumbersome and time-consuming process of optimally positioning a camera in 3D space relative to surgical objects, which can lead to procedural delays and misalignments due to improper camera placement.
Innovation Solution
A surgical system with a machine vision camera and controllers that define a zone within the field of view, which includes a display device, and a graphical user interface, which virtually defines a zone within the field of view, and a graphical user interface, which includes a graphical user interface, which includes a graphical user interface, which interfaces with a graphical user interface, which interfaces with a graphical user interface, which interfaces with a graphical user interface, which is configured to aid in positioning the camera and the camera, and which is configured to aid in positioning the camera and the interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional trial and error method is used to position the camera, then the camera can be placed in the field of view, but the positioning process becomes time-consuming and complex
Solution Approach 1:
The system performs preoperative planning and calculates optimal camera position and orientation before the actual surgical setup. The processor determines the optimal position by virtually positioning the camera and evaluating whether surgical objects remain within the field of view, allowing the camera to be placed correctly on the first attempt without trial and error
Solution Approach 2:
The system skips the time-consuming trial and error process by directly calculating and implementing the optimal camera position using preoperative planning data and virtual positioning algorithms
2Measurement precision
If the camera is placed too far or too close to surgical objects, then the objects remain in the field of view, but the positioning accuracy and effectiveness decrease
Solution Approach 1:
The system evaluates camera position in three-dimensional space by virtually positioning the camera at different locations and orientations. The processor assesses whether surgical objects remain within the field of view across multiple spatial dimensions, ensuring optimal positioning accuracy
Solution Approach 2:
The system creates a virtual model of the surgical scene including the camera and surgical objects. By working with this virtual copy during preoperative planning, the system can determine optimal positioning without physically moving the actual camera multiple times
3Adaptability or versatility
If multiple objects are used in the operating space, then comprehensive tracking is achieved, but finding optimal camera placement becomes more burdensome
Solution Approach 1:
The virtual positioning system evaluates whether all surgical objects remain within the field of view simultaneously. The processor considers multiple objects in the preoperative plan and determines a single optimal camera position that satisfies the field of view requirement for all objects
Solution Approach 2:
The system combines the positioning requirements for multiple surgical objects into a single optimal camera position calculation. By merging the field of view constraints for all objects, the system determines one position that satisfies all requirements simultaneously
4Reliability
If improper camera positioning occurs during the procedure, then the surgery can continue, but misalignment and improper implant placement may occur
Solution Approach 1:
The system determines the optimal camera position during preoperative planning before the surgical procedure begins. By establishing the correct position in advance, the system ensures reliable surgical navigation accuracy throughout the procedure without requiring complex real-time adjustments
Solution Approach 2:
The preoperative planning process acts as a cushioning measure by pre-calculating and validating the optimal camera position. This beforehand preparation prevents positioning errors that could lead to misalignment or improper implant placement during surgery
Data Source
AI summary
Systems, methods and computer-program products are provided for aiding in positioning between a surgical object and a machine vision camera in a surgical environment. The machine vision camera senses a position and orientation of a surgical object in its field of view. Controller(s) virtually define a zone within the field of view that indicates a range of acceptable positions for the surgical object relative to a position of the machine vision camera. The controller(s) obtain an acceptable orientation range for the surgical object relative to an orientation of the machine vision camera. The controller(s) execute a GUI to simultaneously present, on the display device, representations of: the field of view; the zone within the field of view; the position of the surgical object relative to the zone; and a current angle difference between the surgical object and the machine vision camera.


