3D Implant Position Reconstruction From Limited 2D Angiography
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Solution Overview
Problem
Existing methods for determining the position of implants in hollow organs, such as stents for flow diversion, are challenging due to the reliance on two-dimensional imaging, which complicates the assessment of three-dimensional location and shape, and full three-dimensional imaging is not feasible due to high effort and radiation dose.
Innovation Solution
A computer-implemented method generates a three-dimensional reconstruction of the implant based on two-dimensional images from a limited number of viewing directions, using geometric and mechanical models to enhance visibility and reliability without full three-dimensional imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full three-dimensional imaging (CT system) is used to determine implant position, then measurement precision and reliability are improved, but loss of time and radiation dose increase significantly
Solution Approach 1:
The patent applies partial action by using only a limited number of two-dimensional angiographic images (e.g., 2-7 views) instead of complete 3D CT imaging. The system reconstructs three-dimensional implant position information from these partial 2D projections, achieving sufficient measurement precision without the time and radiation burden of full 3D scanning. This selective use of minimal imaging data resolves the contradiction between accuracy and time consumption.
Solution Approach 2:
The patent extracts only the essential information needed for implant position determination from the imaging process. Instead of acquiring complete 3D volumetric data, the system extracts position and orientation parameters from selected 2D angiographic projections and reconstructs the necessary 3D information computationally. This extraction approach maintains measurement precision while eliminating unnecessary time consumption and radiation exposure.
2Loss of time
If two-dimensional angiography images are used to determine implant position, then loss of time and radiation dose are reduced, but measurement precision and reliability deteriorate due to difficulty in judging three-dimensional location
Solution Approach 1:
The patent transforms two-dimensional angiographic projection images into three-dimensional implant position information through computational reconstruction. By mathematically back-projecting the 2D image data from multiple viewing angles, the system generates 3D coordinates and orientation parameters of the implant. This dimensionality transformation allows accurate 3D position determination using only 2D input images, resolving the precision limitation while maintaining time efficiency.
Solution Approach 2:
The patent introduces computational algorithms as an intermediary between the 2D angiographic images and the final implant position determination. The reconstruction algorithms process the 2D projection data, apply geometric transformations, and compute the 3D implant parameters. This computational intermediary bridges the gap between limited 2D measurements and accurate 3D position assessment, enabling precise determination without requiring full 3D imaging.
3Measurement precision
If biplane X-ray fluoroscopy is used to provide two views simultaneously, then measurement precision is improved compared to single-plane, but device complexity and interpretation difficulty increase
Solution Approach 1:
The patent makes the angiography system multi-functional by enabling it to perform both traditional 2D imaging and automated 3D reconstruction functions. The same imaging hardware that captures 2D fluoroscopic views is also used to generate 3D implant position data through computational processing. This universality allows the system to provide enhanced measurement precision without requiring separate dedicated 3D imaging devices, thereby avoiding increased device complexity.
Solution Approach 2:
The system applies self-service by automatically performing the 3D reconstruction and position determination without requiring manual interpretation by the operator. The computational algorithms automatically process the biplane images, calculate implant parameters, and present the results. This automation eliminates the need for experienced operators to manually interpret complex 2D images, reducing interpretation difficulty while maintaining high measurement precision.
Data Source
AI summary
In order to determine the position of an implant in a hollow organ, image data is obtained consisting of one or more two-dimensional images, that each represent the implant in a first state inside the hollow organ from at most ten different viewing directions. A three-dimensional first reconstruction of the implant in the first state is generated on the basis of the image data. The image data includes two to ten two-dimensional images having different viewing directions with respect to the implant. In addition, the image data includes two or more two-dimensional first images, each of which represents the implant in the first state according to a first viewing direction at different points in time. At least one averaged first image is generated on the basis of the two or more first images, and the first reconstruction is made on the basis of the at least one averaged first image. A representation of the first reconstruction is displayed on a display device.