Vascular Assessment Data Linking Across 2-D Angiographic Views
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Solution Overview
Problem
Existing medical imaging technologies struggle to accurately assess vascular stenosis severity using invasive methods like FFR, and there is a need for a more efficient and non-invasive method to model vascular flow and display vascular parameter data from multiple angiographic images taken at different angles and anatomical states.
Innovation Solution
A method and system for linking vascular data from multiple 2-D angiographic images taken at different angles and anatomical states using a data structure that associates corresponding locations, allowing for the display of vascular parameter data in a common frame of reference, using overlays and compositing techniques to integrate diverse data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive FFR measurement is used to assess vascular stenosis, then measurement precision is improved, but device complexity and patient risk increase due to invasive procedures
Solution Approach 1:
The patent creates a virtual 3D model that copies and represents the physical vasculature geometry from 2D angiographic images. This virtual model allows non-invasive calculation of hemodynamic parameters that traditionally required invasive measurements, thereby maintaining measurement precision while eliminating the need for invasive procedures
Solution Approach 2:
The patent replaces the mechanical invasive pressure measurement system with a computational fluid dynamics model that simulates blood flow based on imaged geometry. This substitution uses numerical calculations instead of physical catheter-based pressure sensors, eliminating invasiveness while preserving the ability to assess stenosis severity
2Manufacturing precision
If multiple 2-D angiographic images from different angles are used to model vascular flow, then manufacturing precision of the vascular model is improved, but device complexity increases due to data integration requirements
Solution Approach 1:
The patent transforms multiple 2D angiographic images from different angles into a unified 3D vascular model. By adding the third dimension, the system reconciles the geometric discrepancies between different 2D views and creates an accurate three-dimensional representation of the vasculature, improving model precision while managing integration complexity through dimensional unification
3Measurement precision
If 2-D locations from multiple angiographic images are linked using a data structure, then measurement precision of vascular parameters is improved, but device complexity increases due to linkage requirements
Solution Approach 1:
The patent introduces a correspondence model as an intermediary data structure that links 2D locations from multiple angiographic images to their corresponding 3D positions in the vascular model. This intermediary layer manages the complexity of multi-image integration while ensuring precise parameter measurement by maintaining accurate spatial relationships between different image views
Data Source
AI summary
Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.