3D Blood Vessel Simulation for Myocardium Abnormality Identification
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Solution Overview
Problem
Current medical imaging techniques for perfusion studies of the myocardium do not provide an automatic method to identify which coronary artery is contributing to abnormalities in the myocardium region, such as ischemia, requiring manual physician identification.
Innovation Solution
A method and system that uses medical images from devices like CT, MRI, or ultrasound to generate a 3D simulation of blood vessels, allowing for the accurate identification of contributing blood vessels by mapping anatomical and perfusion data to determine the affected vessel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification of coronary arteries is used in perfusion studies, then physician expertise can be applied to identify abnormalities, but the process is time-consuming and prone to human error
Solution Approach 1:
The patent creates a virtual 3D model (copy) of the coronary arteries from medical imaging data. This virtual model can be automatically analyzed by computer algorithms to identify blood vessels contributing to myocardial abnormalities, replacing manual physician identification while maintaining accuracy and reducing time consumption.
Solution Approach 2:
The patent replaces the manual mechanical process of physician identification with an automated computational system. The system uses image processing algorithms and 3D modeling to automatically detect and identify coronary arteries and their contribution to myocardial abnormalities, eliminating human labor while improving efficiency.
2Extent of automation
If manual identification methods are used, then flexibility in interpreting complex cases is maintained, but automation and consistency are lost
Solution Approach 1:
By creating a detailed virtual 3D model of the coronary arteries, the system preserves all anatomical details for consistent automated analysis. The virtual model can be repeatedly analyzed with the same algorithmic criteria, ensuring consistent and reliable results across different cases and physicians.
Solution Approach 2:
The patent transforms medical imaging data into a standardized 3D virtual model format with defined parameters for analysis. This standardization allows automated algorithms to consistently evaluate blood vessel characteristics and their contribution to abnormalities, improving reliability through parameter-based objective assessment.
3Loss of information
If perfusion studies are performed without automated vessel identification, then basic perfusion information is obtained, but specific contributing blood vessels cannot be determined
Solution Approach 1:
The patent segments the coronary artery system into individual vessel models within the virtual 3D representation. This segmentation allows the system to identify and analyze each blood vessel's contribution to myocardial perfusion separately, providing specific vessel information without requiring entirely new imaging equipment.
Solution Approach 2:
The patent adds a third dimension to traditional 2D medical imaging by creating virtual 3D models of coronary arteries. This dimensional transformation enables comprehensive spatial analysis of blood vessel anatomy and their relationship to myocardial regions, extracting detailed vessel information from standard imaging data.
Data Source
AI summary
A method, device, and system for determining at least one blood vessel contributing to an abnormality in a myocardium region are provided. The method includes receiving from a medical imaging device a medical image associated with the myocardium region. The method further includes identifying from the medical image a region of abnormality in the myocardium region. Additionally, the method includes generating a simulation of a plurality of blood vessels associated with the myocardium region. The method includes determining from the simulation of the plurality of blood vessels at least one blood vessel contributing to the abnormality in the myocardium region. The at least one blood vessel is associated with the region of abnormality in the myocardium region.