Real-Time Anatomical 3D Model Update System
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Solution Overview
Problem
During surgical operations, anatomical structures may move or deform from their pre-operational 3D model representations due to movement or deformation, leading to inaccuracies in location and shape identification, which can result in unintentional damage to non-target structures and reduced surgical precision.
Innovation Solution
A system and method that utilize imaging devices, location sensors, and controllers to update anatomical 3D models in real-time based on captured images during surgery, accounting for gravitational direction and position changes, allowing for accurate identification and adjustment of anatomical structures' locations and shapes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a 3D model is created before surgery based on pre-operative images, then surgical planning can be performed in advance, but the anatomical structures may move or deform during surgery causing the model to become inaccurate
Solution Approach 1:
The system transitions from a static pre-operative 3D model to a dynamic real-time model that automatically updates during surgery. The controller continuously receives images from imaging devices, identifies anatomical structures, and updates the 3D model to reflect current positions and deformations, ensuring the model remains accurate throughout the surgical procedure.
Solution Approach 2:
The system implements a feedback loop where images captured during surgery are processed to detect changes in anatomical structure locations and shapes. The controller compares these changes with the existing 3D model and automatically updates the model accordingly, creating a closed-loop system that maintains model accuracy through continuous verification and correction.
2Measurement precision
If real-time image processing is performed to update the 3D model during surgery, then surgical precision is improved, but system complexity and processing requirements increase
Solution Approach 1:
The controller performs multiple functions using a single integrated system: it processes images from different imaging devices, identifies various anatomical structures, tracks their movements, and updates the 3D model. This multi-functional approach consolidates what would otherwise require separate specialized systems, managing complexity while maintaining high precision.
Solution Approach 2:
The system creates and maintains a digital copy (3D model) of the anatomical structures that mirrors their physical state. This virtual model serves as a simplified representation that can be updated through image processing without requiring direct manipulation of the complex physical anatomy, enabling precise tracking and measurement through computational methods.
3Object-affected harmful factors
If the 3D model is updated frequently during surgery to track anatomical movements, then surgical safety is improved by preventing damage to non-target structures, but data processing load increases
Solution Approach 1:
The system processes and updates only the portions of the 3D model that contain anatomical structures relevant to the current surgical field and detected changes. Rather than processing entire volumetric datasets continuously, the controller focuses computational resources on specific regions of interest and structures that are actively being manipulated or are at risk, reducing overall processing load while maintaining safety.
Data Source
AI summary
A system for updating a three dimensional (3D) model based on a deformed or displaced anatomical structure in a body includes a first imaging device configured to capture an image inside of a body, a location sensor installed in the first imaging device and configured to identify a location of the first imaging device, a memory configured to store one or more programs and a 3D model of at least a portion of the body, and a controller. The controller is configured to perform the one or more programs to identify a location of an anatomical structure, which is captured in the image, in the body based on the location of the location sensor, and/or to identify a shape of the anatomical structure in the image. The controller updates, as necessary, the 3D model based on the location and/or the shape of the anatomical structure.