Radiographic Marker Location via 3D Boundary Digitization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radiographic imaging methods for three-dimensional reconstruction require significant human intervention and precision, leading to limited reproducibility and potential errors in marker identification, especially when performed by non-specialized personnel.
Innovation Solution
A method that uses three-dimensional image data of an object's outer boundary to estimate the coordinates of characteristic markers, allowing for the adaptation of a generic model to locate markers on two-dimensional radiographs with reduced operator intervention, thereby enhancing the reliability and accuracy of three-dimensional reconstruction by searching within limited zones defined by marker projections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual location of control markers on radiographic images is performed by non-specialized personnel, then ease of operation is improved, but measurement precision and reliability deteriorate due to lack of anatomical knowledge and precision
Solution Approach 1:
A semi-automatic marker location system acts as an intermediary between the user and the radiographic images. The system automatically detects potential marker locations and presents them to the user for confirmation, eliminating the need for users to have specialized anatomical knowledge while maintaining high precision through automated detection algorithms.
Solution Approach 2:
The radiographic imaging system performs self-service by automatically identifying and locating control markers on the images without requiring manual intervention from the operator. The system uses image processing algorithms to detect marker positions, calculate three-dimensional coordinates, and reconstruct the model automatically, thereby improving both ease of operation and measurement precision.
2Measurement precision
If manual location of control markers is required for three-dimensional reconstruction, then measurement precision is improved through expert knowledge, but loss of time increases due to significant human intervention
Solution Approach 1:
The system automatically performs marker location and three-dimensional reconstruction without requiring manual intervention. The automated detection algorithms identify control markers, calculate their three-dimensional coordinates, and reconstruct the model in minutes rather than the hours required for manual processing, thereby improving productivity while maintaining precision.
Solution Approach 2:
The manual mechanical process of marker location by experts is replaced with an automated image processing system using algorithms and computer vision techniques. This substitution eliminates the time-consuming manual intervention while maintaining or improving measurement precision through consistent automated detection.
3Productivity
If three-dimensional image data of the outer boundary is used to estimate marker coordinates, then productivity is improved by reducing manual intervention, but device complexity increases due to additional imaging systems
Solution Approach 1:
The radiographic imaging system is enhanced with multi-functionality by integrating both two-dimensional radiographic imaging and three-dimensional outer boundary scanning capabilities into a single device. This universal system can perform both functions using the same hardware platform, thereby improving productivity without proportionally increasing device complexity.
Solution Approach 2:
The patent combines two separate imaging functions (2D radiographic imaging and 3D outer boundary scanning) into a single integrated system. By merging these functions and using the 3D boundary data to assist marker location in the 2D images, the system improves productivity while managing device complexity through shared hardware and coordinated processing.
Data Source
AI summary
A method for the radiographic imaging of a three-dimensional internal structure which forms part of an object located within a field of view, a radiographic image processing device and a radiographic imaging device, which are particularly suitable for locating a characteristic point of an internal structure on a radiographic image.