Angiographic Image Processing for Non-Invasive FFR Determination
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Solution Overview
Problem
Current methods for determining fractional flow reserve (FFR) in coronary arteries require invasive procedures and are limited in their ability to accurately assess luminal-flow-related indices without inserting sensors, particularly in complex or moving anatomical conditions.
Innovation Solution
The development of a system that uses image processing to analyze angiographic images, determining lumen geometry and blood velocity without a 3D model, and calculates luminal-flow-related indices like FFR by comparing current flow parameters with historical or upstream pressure values, facilitating non-invasive assessment and recommendation for treatment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive sensor insertion is used to measure FFR, then measurement precision is improved, but device complexity and procedural risk increase
Solution Approach 1:
The patent replaces the mechanical sensor insertion method with an image-processing-based measurement system. By analyzing contrast agent velocity in angiographic images through computational algorithms, the system eliminates the need for physical sensors to be inserted into the lumen, thereby reducing device complexity and procedural risk while maintaining measurement capability
Solution Approach 2:
The patent introduces contrast agent velocity as an intermediary parameter to indirectly determine FFR. Instead of directly measuring pressure differential with sensors, the system uses the velocity of contrast agent flow through the lumen as a mediator to calculate flow-related indices, which then provide the FFR value without requiring invasive pressure sensors
2Measurement precision
If 3D model generation is performed to determine lumen geometry, then measurement precision is improved, but processing time and computational resources increase
Solution Approach 1:
The patent extracts the essential geometric information needed for FFR calculation directly from 2D angiographic images without generating a complete 3D model. By identifying specific regions of interest and measuring contrast agent velocity at discrete locations along the lumen, the system obtains sufficient geometric data for accurate FFR determination while avoiding the time-consuming process of full 3D reconstruction
Solution Approach 2:
The patent applies partial image processing by focusing computational efforts only on specific regions of interest along the lumen where flow measurement is needed, rather than processing the entire lumen geometry in 3D. This selective approach provides adequate measurement precision for FFR while significantly reducing overall processing time and computational resource consumption
3Ease of operation
If non-invasive image processing is used, then ease of operation is improved, but measurement precision may worsen
Solution Approach 1:
The patent replaces invasive mechanical sensing with non-invasive image-based measurement. By using contrast agent velocity analysis in angiographic images, the system achieves non-invasive FFR assessment while maintaining measurement precision through sophisticated image processing algorithms that accurately quantify flow dynamics without requiring physical contact with the lumen
Data Source
AI summary
Apparatus and methods are described for use with an imaging device (12) configured to acquire a set of angiographic images of a lumen. At least one processor (10) includes blood-velocity-determination functionality (16) that determines blood velocity within the lumen, via image processing. Current-flow-related-parameter-determination functionality (18) determines a value of a flow-related parameter at the location based upon the determined blood velocity. Flow-related-parameter-receiving functionality (19) receives an indication of a value of a second flow-related parameter of the subject, and index-determination functionality (21) determines a value of a luminal-flow-related index of the subject at the location, by determining a relationship between the value of the current flow-related parameter and the value of the second flow-related parameter. Other applications are also described.


