3D Display Data Set Generation from 2D X-ray Projections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating three-dimensional display data sets of contrast medium spreading in vessel systems are time-consuming and inefficient, as they require extensive rotation and image processing, which can lead to inaccuracies and ambiguities in diagnosing blood flow and perfusion in the human brain.
Innovation Solution
A method that uses a series of chronologically successive x-ray images from multiple projection directions to determine three-dimensional positions and assign time parameters, allowing for the creation of pseudo-3D or pseudo-4D representations of vessel configurations without the need for additional x-ray images, by analyzing time-intensity curves and using vessel models for accurate interpolation and combination of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional image data sets are recorded by rotating a C-arm about the target region, then three-dimensional information about contrast medium spreading is obtained, but the procedure becomes extremely time-consuming and time-critical since rotations take up a longer period of time
Solution Approach 1:
The patent creates a virtual three-dimensional model by copying and reconstructing data from two-dimensional projection images through computational methods, eliminating the need for physical rotation of the C-arm. This virtual reconstruction approach provides 3D information without the time penalty of mechanical rotation
Solution Approach 2:
The patent performs preliminary processing of two-dimensional projection images to extract contrast medium distribution information before reconstruction. By preparing and analyzing the projection data in advance using computational algorithms, the system can generate three-dimensional representations without requiring time-consuming mechanical rotations during the examination
2Productivity
If two-dimensional subtraction angiography is used to determine time parameters, then time-intensity curves can be obtained, but actual three-dimensional or four-dimensional information cannot be obtained
Solution Approach 1:
The patent transforms two-dimensional projection data into three-dimensional spatial representations by applying reconstruction algorithms. This dimensional transformation allows the system to derive 3D position information and 4D time parameters from 2D images, providing both spatial and temporal information simultaneously without sacrificing evaluation efficiency
3Reliability
If mask images are subtracted from raw images to remove interfering anatomy, then only contrast medium information remains, but the procedure requires extensive image processing
Solution Approach 1:
The patent extracts only the essential contrast medium information from the projection images by using intelligent subtraction techniques that remove interfering anatomy while preserving blood flow dynamics. This extraction approach simplifies the image processing by focusing only on the relevant contrast medium signal rather than processing entire image datasets
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 method provides accurate and efficient three-dimensional or four-dimensional maps of time parameters like TTP, MTT, rCBV, and rCBF, reducing processing time and ambiguity, while allowing for manual or automatic selection of correspondence points and regions, thus enhancing diagnostic accuracy.
Implementation Method 1
administer contrast medium that may be clearly recognized in image recordings (e.g., x-ray recordings)
Data Source
AI summary
A method for generating an at least three-dimensional display data set of a time parameter relating to the chronological spreading of a contrast medium introduced into a vessel system is provided. A series of chronologically successive x-ray images of digital subtraction angiography from at least two different projection directions showing the chronological spreading of the contrast medium is used. The method includes determining a three-dimensional position for at least one correspondence point and/or correspondence region defined, in each case, in at least one x-ray image of a projection direction. For each three-dimensional position, a time parameter assigned to the three-dimensional position is determined by evaluation of time-intensity curves assigned to the correspondence points or correspondence regions over the series. The display data set formed from the three-dimensional positions is displayed with the assigned time parameters.