3D Blood Vessel Profile Data Generation from Angiographic Images
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Solution Overview
Problem
Current diagnostic methods using two-dimensional angiographic images are inadequate for accurately diagnosing myocardial ischemia caused by coronary artery stenosis, as they fail to provide reliable information on blood flow characteristics.
Innovation Solution
A method and electronic device for generating three-dimensional (3D) blood vessel profile data by acquiring a plurality of images, including angiographic images at different viewing angles, and merging these images to create detailed 3D profiles that can predict blood flow characteristic values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If two-dimensional angiographic images are used for diagnosis, then the imaging process is simple and quick, but the diagnostic accuracy for myocardial ischemia is insufficient
Solution Approach 1:
The patent transforms two-dimensional angiographic images into three-dimensional blood vessel profile data by introducing a temporal dimension through multiple frames and applying optical flow algorithms. This dimensionality change enables accurate prediction of blood flow characteristics and diagnostic assessment of myocardial ischemia, directly resolving the contradiction between simple imaging and diagnostic accuracy.
2Reliability
If only degree of coronary artery stenosis from 2D images is analyzed, then the analysis is straightforward, but accurate determination of myocardial ischemia cannot be made
Solution Approach 1:
The patent changes the diagnostic parameters from static anatomical measurements (degree of stenosis) to dynamic functional parameters (blood flow velocity, flow direction, and derived blood flow characteristic values). By analyzing temporal changes in blood flow patterns across multiple image frames, the system achieves reliable diagnosis of myocardial ischemia while maintaining manageable analysis complexity through automated optical flow computation.
3Measurement precision
If 3D blood vessel profile data is generated to predict blood flow characteristics, then diagnostic accuracy improves, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary action by generating three-dimensional blood vessel profile data from multiple angiographic frames before actual diagnostic assessment. The optical flow field computation and 3D reconstruction are completed in advance, creating ready-to-use blood flow characteristic predictions that can be quickly evaluated for myocardial ischemia diagnosis, thereby reducing real-time processing requirements.
Data Source
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AI summary
A method for generating three-dimensional blood vessel profile data comprises acquiring a plurality of images including blood vessels, generating three-dimensional first blood vessel profile data by using a first image and a second image of the plurality of images, generating three-dimensional second blood vessel profile data by using the second image and a third image of the plurality of images, identifying a first coordinate value corresponding to a first point in the blood vessels in the second blood vessel profile data, identifying a second coordinate value in the second image based on the first coordinate value, identifying a third coordinate value corresponding to the first point in the first blood vessel profile data based on the second coordinate value, and acquiring three-dimensional third blood vessel profile data by merging the first blood vessel profile data and the second blood vessel profile data based on the third coordinate value.