Co-registered Physiological Data and Angiographic Images for Stenosis Diagnosis
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Solution Overview
Problem
Current methods for assessing the severity of stenosis in blood vessels, such as fractional flow reserve (FFR), are limited by the difficulty in visualizing stenoses in grayscale angiographic images and the need for additional diagnostic information to guide treatment decisions, which can be costly and risky.
Innovation Solution
A system and method that co-registers physiological data, including pressure and flow measurements, with angiographic images to identify regions of interest and recommend diagnostic procedures like intravascular imaging or pressure measurements, enhancing the accuracy and objectivity of treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional diagnostic information is obtained to improve diagnosis accuracy, then diagnostic precision is improved, but cost and time increase
Solution Approach 1:
The system performs preliminary analysis of physiological measurements and angiographic images to pre-identify regions of interest and predict where intravascular imaging would be most beneficial. This preliminary action allows the system to recommend only the necessary additional diagnostic procedures, avoiding unnecessary time-consuming imaging while ensuring accurate diagnosis when needed.
Solution Approach 2:
The system continuously monitors physiological measurements (pressure, flow) and provides feedback to guide diagnostic decisions. By analyzing real-time physiological data and comparing it with angiographic images, the system dynamically determines which regions require further intravascular imaging, optimizing the balance between diagnostic accuracy and time efficiency.
2Measurement precision
If intravascular imaging is performed to characterize tissue/plaque, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system uses physiological measurements (pressure, flow data) as an intermediary to bridge the gap between simple angiographic imaging and complex intravascular imaging. By analyzing these intermediate physiological parameters and co-registering them with angiographic images, the system can predict when intravascular imaging is necessary, thereby avoiding unnecessary complexity while maintaining diagnostic precision when required.
Solution Approach 2:
The system creates a virtual copy or model of the vessel by co-registering physiological measurements with angiographic images. This virtual model allows for detailed analysis of stenosis characteristics and tissue characterization without immediately requiring complex intravascular imaging procedures, thus reducing device complexity while maintaining measurement precision through computational analysis.
3Measurement precision
If pressure data is used to interpret angiographic images, then diagnostic accuracy is improved, but difficulty in visualizing stenoses increases
Solution Approach 1:
The system adds another dimension to the diagnostic approach by co-registering three-dimensional physiological measurements with two-dimensional angiographic images. This creates a multi-dimensional representation where pressure and flow data are spatially correlated with anatomical structures, enabling accurate stenosis severity assessment while improving visualization through integrated display of multiple data types in a unified spatial framework.
Data Source
AI summary
Devices, systems, and methods of evaluating risk associated with a condition of the vessel and issuing an automatic recommendation based on co-registered physiological measurements are disclosed. The includes steps of obtaining image data for the vessel of the patient, obtaining physiological measurements for the vessel of the patient, co-registering the obtained physiological measurements with the obtained image data such that the physiological measurements are associated with corresponding portions of the vessel of the patient, analyzing the co-registered physiology measurements to identify a region of interest, and outputting, to a user interface, a suggested diagnostic procedure for the region of interest based on the analysis of the co-registered physiology measurements.