Blood Vessel Image Region Mapping for 3D Model Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional techniques for generating 3D models of blood vessels from X-ray images captured in two directions are insufficient, particularly in accurately mapping image regions with bifurcations, leading to difficulties in grasping the shape of complex vessels like the coronary artery.
Innovation Solution
An image region mapping device that captures X-ray images of blood vessels from different angles, acquires brightness change information, calculates similarity degrees between image regions, and determines corresponding regions to generate accurate 3D models by serially photographing the blood vessel at first and second angles, using a projection image acquiring unit, brightness change acquiring units, similarity degree calculator, and corresponding region determiner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques are used to generate 3D models from two X-ray images, then the process is simple, but the accuracy of mapping image regions with bifurcations is insufficient
Solution Approach 1:
The patent segments the blood vessel image into multiple regions including bifurcation points and divides them into first image regions and second image regions. This segmentation allows independent processing of different vessel segments, improving mapping accuracy at complex bifurcation areas while maintaining overall system manageability.
Solution Approach 2:
The patent introduces brightness change information as an intermediary parameter to establish correspondence between image regions. By using brightness changes over time as a mediator, the system can accurately map corresponding regions across different X-ray images without requiring complex direct geometric transformations.
2Measurement precision
If brightness change information is acquired and similarity degrees are calculated to determine corresponding regions, then mapping precision is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary actions by acquiring brightness change information for multiple second image regions before calculating similarity degrees. This preliminary preparation organizes data in advance, enabling more efficient similarity calculations and reducing overall processing time while maintaining high mapping precision.
Solution Approach 2:
The patent calculates similarity degrees between the first image region and multiple candidate second image regions, performing more comparisons than strictly necessary. This excessive action ensures that the correct corresponding region is identified even in complex bifurcation scenarios, prioritizing precision while the systematic approach keeps processing manageable.
3Loss of information
If multiple image sets are captured at different photographing angles, then the ability to grasp complex vessel shapes is improved, but the complexity of image processing increases
Solution Approach 1:
The patent captures X-ray images from multiple photographing angles, adding the angular dimension to the imaging process. This multi-angle approach preserves complete three-dimensional vessel shape information that cannot be obtained from a single view, while the systematic region mapping method manages the increased data complexity.
Solution Approach 2:
The patent creates multiple copies of image regions from different angles and time points, then systematically compares them to establish correspondences. This copying approach allows comprehensive analysis of vessel shapes from multiple perspectives while using standardized processing procedures to manage the complexity of handling multiple image sets.
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 mapping and generation of 3D models of blood vessels with bifurcations, improving the ability to understand complex vessel shapes by accurately determining corresponding image regions across different X-ray images.
Implementation Method 1
capture the blood vessel through which a contrast medium is passing, serially at first and second photographing angles
Data Source
AI summary
An image region mapping device captures a blood vessel through which a contrast medium is passing, serially at first and second photographing angles to acquire plural image sets each including first and second projection images captured at the angles, respectively acquires brightness change information on the medium for a predetermined time period in a first image region and each of a plurality of second image regions after a bifurcation on the first projection image each of a plurality of second image regions after the bifurcation on the second projection image in each image set, the second image regions being candidates corresponding to the first image region, calculates a similarity degree between the information acquired earlier and each information piece acquired later, determines one of the second image regions in accordance with the calculated similarity degrees, and maps the plural vessel image regions.