Haemodynamic Assessment via 3D Vascular Reconstruction
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Solution Overview
Problem
Conventional coronary angiography struggles to accurately assess the physiological significance of lesions and reconstruct the complete 3D geometry of the vascular tree due to limited data availability and registration challenges between different imaging datasets, often requiring additional exposure to radiation and contrast medium.
Innovation Solution
A method that acquires multiple angiographic images from different angles to generate a 3D reconstruction of the vascular region of interest, extracts 3D geometric features, and estimates missing features using predefined rules to create a complete set of geometric features, allowing for accurate haemodynamic parameter assessment without the need for additional imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If additional imaging data is acquired to enable complete 3D reconstruction of the vessel tree, then the completeness of the vascular model is improved, but the patient exposure to radiation and contrast medium increases
Solution Approach 1:
The patent uses a 3D reconstruction algorithm that creates a complete vascular model by copying and integrating information from limited angiographic projections. The system reconstructs the full 3D geometry of the vessel tree, including portions not directly visible in the acquired images, by inferring missing segments from the available projection data and applying anatomical continuity assumptions.
2Loss of information
If additional imaging data is acquired to enable complete 3D reconstruction of the vessel tree, then the completeness of the vascular model is improved, but the cost of medical procedures increases
Solution Approach 1:
The patent applies partial action by acquiring only the minimum necessary angiographic projections required to capture the region of interest, rather than obtaining complete coverage of the entire vessel tree. The 3D reconstruction algorithm then compensates for the limited data by inferring missing vascular segments through mathematical reconstruction and anatomical reasoning, achieving sufficient completeness for haemodynamic assessment without excessive imaging.
3Object-affected harmful factors
If 3D reconstruction is performed from limited angiographic projections, then the patient exposure to radiation is reduced, but the accuracy of geometric representation deteriorates
Solution Approach 1:
The patent replaces direct mechanical/measurement-based geometric acquisition with a computational reconstruction system. Instead of relying on multiple direct measurements from different angles, the system uses mathematical algorithms to reconstruct 3D geometry from limited 2D projections, substituting computational inference for physical measurement and achieving adequate geometric accuracy with reduced imaging.
4Measurement precision
If complete 3D reconstruction is attempted from available images, then the haemodynamic assessment accuracy is improved, but the difficulty of data registration increases
Solution Approach 1:
The patent implements a unified 3D reconstruction framework that simultaneously handles multiple vessel segments and integrates them into a single coherent model. The reconstruction algorithm processes all available projection data through a common mathematical framework, automatically registering and aligning different vascular segments without requiring separate manual registration procedures for each vessel portion.
Data Source
AI summary
A method and a corresponding system for assessing a haemodynamic parameter for a vascular region of interest of a patient based on angiographic images are provided. After acquiring multiple angiographic images, a three dimensional (3D) representation of at least a first portion of the respective region of interest is performed, and geometric features are extracted from complete or partial views. Additional geometric features are extracted from partial incomplete views. A complete set of 3D geometric features for an anatomical structure, such as a vessel tree, is then generated by combining the extracted geometric features and estimating any missing geometric features. Using the complete set of 3D geometric features, a feature-based assessment of the haemodynamic parameter, such as a fractional flow reserve, is then performed.


