Cerebral Supply Data Calculation via Flow Simulation
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Solution Overview
Problem
Current imaging techniques, such as CT angiography and perfusion CT, struggle to accurately assess the impact of vascular stenoses on blood flow and perfusion in complex cerebral vascular structures, particularly in the brain, due to limitations in capturing dynamic changes and the involvement of multiple vascular supply zones, leading to inadequate estimation of ischemic risks and treatment needs.
Innovation Solution
A method involving the reception of first and reference imaging data, processing these data using a data processing system to calculate supply data, which includes simulating flow dynamics and perfusion changes, providing comprehensive supply data for the brain parenchyma, even in the presence of stenosis and collateralization, using a combination of morphological, functional, and simulated information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current imaging techniques (CTA, PCT) are used to assess vascular supply, then the examination can be performed with standard equipment, but the measurement precision of blood flow and perfusion changes is insufficient
Solution Approach 1:
A data processing system acts as an intermediary between standard imaging equipment (CTA/PCT) and clinical decision-making. This system receives imaging data, applies sophisticated simulations of flow dynamics and perfusion changes, and generates enhanced supply data. The intermediary process enables precise blood flow assessment using conventional imaging hardware, resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The patent replaces direct mechanical/physical measurement systems with computational simulations. Instead of using complex imaging hardware to directly measure blood flow dynamics, the system uses standard imaging data combined with computational models that simulate flow characteristics, perfusion changes, and vascular responses. This substitution achieves high measurement precision while avoiding the need for complex specialized equipment.
2Loss of information
If standard CTA is performed to examine vessel anatomy, then the procedure is routine and widely available, but the ability to estimate effects of stenosis on future blood flow changes is insufficient
Solution Approach 1:
The data processing system performs preliminary simulations of various physiological scenarios (blood pressure changes, collateral activation, stenosis progression) based on current imaging data. By calculating potential future blood flow changes and perfusion outcomes before clinical events occur, the system provides predictive information that helps prevent information loss about future vascular status while maintaining ease of operation through automated processing.
Solution Approach 2:
The system transforms static anatomical imaging data into dynamic predictions of blood flow behavior. By simulating how blood flow and perfusion will change under different physiological conditions (hypotension, hypertension, collateral recruitment), the system recovers information about future vascular status that would otherwise be lost, while the automated nature of the simulation maintains operational simplicity.
3Reliability
If manual evaluation of density differences is performed to assess perfusion, then no additional processing system is needed, but the measurement is prone to errors and highly dependent on external parameters
Solution Approach 1:
The data processing system implements feedback mechanisms where simulation results are continuously refined based on comparison with actual imaging data and known physiological parameters. The system adjusts its models of flow dynamics and perfusion based on observed density changes, improving reliability of perfusion assessment. This automated feedback loop reduces dependence on external parameters and minimizes evaluation errors while the processing system handles the complexity.
Data Source
AI summary
A method for providing supply data relating to supply to a parenchyma, comprises: receiving first imaging data, wherein the first imaging data relates to the parenchyma and/or a vascular structure that serves to supply the parenchyma; receiving reference data for the supply to the parenchyma; calculating the supply data based on the first imaging data and the reference data, wherein the supply data relates to the supply to the parenchyma; and providing the supply data.