Surgical Hub 3D Representation Structured Light Imaging
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Solution Overview
Problem
Current surgical imaging systems are limited in recognizing and conveying concealed structures, physical contours, and dimensions within a three-dimensional space, and may fail to provide essential information to clinicians during surgical procedures.
Innovation Solution
A method is developed to generate and update a three-dimensional representation of a surgical site using structured electromagnetic radiation, combining data from image sensors to detect patterns of structured light on anatomical and subsurface contours, and a control circuit processes this data to create a digital representation, which is then displayed and manipulated by users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional imaging systems are used to view the surgical site, then the system is simple and easy to operate, but the system cannot recognize or convey concealed structures, physical contours, and three-dimensional dimensions
Solution Approach 1:
The patent projects structured light patterns (2D) onto the surgical site and uses image sensors to capture the deformed patterns, then processes this data to reconstruct 3D surface topography and subsurface structures. This dimensionality transformation from 2D imaging to 3D representation enables visualization of concealed anatomical features that conventional 2D imaging cannot detect
Solution Approach 2:
The patent introduces structured light patterns as an intermediary medium between the imaging system and the surgical site. These projected patterns serve as a mediator that interacts with the tissue surface and subsurface structures, allowing the imaging system to indirectly detect and visualize concealed anatomical features through pattern deformation analysis
2Measurement precision
If multiple image sensors and structured light projection are used to create 3D representation, then visualization accuracy and detection capability improve, but the device complexity and processing requirements increase
Solution Approach 1:
The patent divides the imaging task into multiple segments: one or more image sensors capture different aspects of the structured light pattern deformation, each sensor can be positioned at different angles or locations to capture specific features. This segmentation allows comprehensive 3D reconstruction while distributing the complexity across multiple simpler sensing components rather than requiring a single complex sensor
Solution Approach 2:
The patent creates digital copies and models of the anatomical structures by processing the captured structured light pattern data. Instead of directly measuring complex 3D surfaces with a single complex sensor, the system captures 2D pattern images and computationally reconstructs 3D representations, using simplified optical copying followed by computational modeling to achieve high measurement precision
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
This approach enhances the visualization of surgical sites, allowing clinicians to accurately identify and avoid critical structures, improving surgical precision and reducing the risk of damaging vital tissues.
Implementation Method 1
detecting a first pattern of structured light on an anatomical surface contour of the surgical site via an image sensor, detecting a second pattern of structured light on a subsurface contour of the surgical site via the image sensor
Data Source
AI summary
A method for generating and updating a three-dimensional representation of a surgical site based on imaging data from an imaging system is disclosed. The method comprises the steps of generating a first image of the surgical site based on structured electromagnetic radiation emitted from the imaging system, receiving a second image of the surgical site, aligning the first image and the second image, generating a three-dimensional representation of the surgical site based on the first image and the second image as aligned, displaying the three-dimensional representation on a display screen, receiving a user selection to manipulate the three-dimensional representation, and updating the three-dimensional representation as displayed on the display screen from a first state to a second state according to the received user selection.