Endoprosthesis Deployment Simulation Using Single 2D Image
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Solution Overview
Problem
Current medical X-ray systems for endovascular surgery of abdominal aorta aneurysms rely on 2D imaging, which is inadequate for precise positioning of endoprostheses, leading to increased irradiation, contrast agent toxicity, and higher risks of post-operative complications due to imprecise 3D deployment.
Innovation Solution
A method that captures a 2D image of a vascular structure, acquires a 3D model, determines the position, orientation, and deployment values of endoprosthesis stents, and simulates their deployment in a 3D model, allowing for real-time visualization and reducing the need for multiple contrast agent injections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple 2D images are captured from different angles to achieve 3D visualization, then the surgical precision is improved, but the number of contrast agent injections increases and the operating time is extended
Solution Approach 1:
The patent transitions from capturing multiple 2D images to using a single 2D image combined with a 3D model of the vascular structure. This dimensionality change allows the system to visualize the endoprosthesis deployment in 3D space without requiring multiple angiographic captures from different angles, thereby reducing contrast agent volume while maintaining surgical precision.
Solution Approach 2:
The patent creates a virtual 3D model that copies and represents the physical vascular structure and endoprosthesis. This digital replica allows surgeons to visualize and plan the procedure without repeatedly exposing the patient to contrast agent injections, as the 3D model can be manipulated and viewed from any angle without additional imaging.
2Measurement precision
If multiple 2D images are captured from different angles to achieve 3D visualization, then the surgical precision is improved, but the operating time is increased
Solution Approach 1:
The system uses a single 2D image combined with a pre-acquired 3D model to achieve 3D visualization, eliminating the time-consuming process of capturing multiple images from different angles. This approach maintains surgical precision while significantly reducing the time required for imaging and planning.
Solution Approach 2:
The 3D model of the vascular structure is acquired beforehand, before the actual surgical procedure. This preliminary action allows the surgeon to have a complete 3D representation ready for use during surgery, eliminating the need to perform multiple angiographic captures during the procedure and thus reducing operating time.
3Quantity of substance
If a single 2D image is used for endoprosthesis positioning, then the number of contrast agent injections is reduced, but the surgical precision is insufficient
Solution Approach 1:
The patent enhances the single 2D image by integrating it with a 3D model of the vascular structure and simulating the endoprosthesis deployment in 3D. This allows the surgeon to maintain low contrast agent usage while achieving high surgical precision through 3D visualization of the deployment geometry and its relationship to branching arteries.
Solution Approach 2:
The 3D model acts as an intermediary between the single 2D image and the surgical decision-making process. It provides the missing depth information and spatial context that a single 2D image cannot provide alone, enabling precise positioning of the endoprosthesis while minimizing contrast agent injection.
4Device complexity
If conventional 2D imaging is used, then the system complexity is low, but the ability to assess 3D deployment is inadequate
Solution Approach 1:
The patent adds a 3D dimension to the imaging system by integrating a 3D model of the vascular structure with the 2D angiographic image. This allows the system to display and assess the endoprosthesis deployment in 3D space, providing complete spatial information while maintaining relative simplicity through the use of computational modeling rather than complex additional hardware.
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
Enables precise and rapid calculation of endoprosthesis deployment in about thirty seconds, improving surgical precision and reducing the number of contrast agent injections, thus minimizing complications.
Implementation Method 1
capture of a 2D image of a vascular structure by X-ray
Data Source
AI summary
A device for medical imaging by X-ray is provided. More specifically, it relates to the simulation of the deployment of an endoprosthesis in order to assist the surgeon in an endovascular surgical procedure. The invention makes use of a single 2D image in order to determine certain characteristics of a simplified model of the endoprosthesis: 2D positions, and deployment value of the stents; to determine the inherent rotation of at least one stent; then to determine the deployment of a model representing the structure of the stents, initialized on the basis of the preceding steps, in a 3D model of a vascular structure.