Patient-Specific 3D Perfusion Simulation for Myocardial Supply Areas
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Solution Overview
Problem
The identification of supply areas in anatomical regions, particularly the myocardium, is challenging due to high anatomical variability and difficulty in estimating hemodynamic effects of pathological changes in the coronary arteries, with conventional methods like the 17-segment model failing to account for individual variations.
Innovation Solution
A method that adjusts a physiological model of blood vessels based on patient-specific 3D image data, simulating 3D perfusion to identify supply areas precisely, allowing for patient-specific identification and graphical representation of these areas in a color-coded format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional methods like the 17-segment model are used to identify supply areas, then a standardized approach is provided, but the high anatomical variability of the coronary tree cannot be taken into consideration
Solution Approach 1:
The patent applies the dynamics principle by transitioning from a static, predetermined segmentation model to a dynamic, patient-specific identification method. The supply areas are determined individually for each patient based on their specific coronary anatomy through simulation of blood flow distribution, allowing the identification method to adapt to anatomical variations while maintaining systematic rigor through computational modeling
Solution Approach 2:
The patent employs parameter changes by using simulation results of blood flow distribution to determine supply area boundaries. Instead of relying on fixed anatomical segments, the method calculates and adjusts supply area parameters based on hemodynamic data, allowing the identification to reflect actual physiological conditions and anatomical variability
2Measurement precision
If perfusion measurement is used to identify damaged areas of the myocardium, then damaged areas can be detected, but a correct patient-specific identification is rendered more difficult by the high anatomical variability
Solution Approach 1:
The patent applies feedback by using simulation results of blood flow distribution to refine and determine supply area boundaries. The simulation provides hemodynamic feedback that is integrated with anatomical data to achieve accurate patient-specific identification, allowing the system to iteratively improve identification precision based on calculated flow patterns
Solution Approach 2:
The patent introduces simulation of blood flow distribution as an intermediary between perfusion measurement data and supply area identification. This intermediary step translates raw perfusion data into meaningful supply area boundaries by modeling hemodynamic processes, thereby bridging the gap between measurement and anatomical variability
Data Source
AI summary
An embodiment of the invention is based on the idea of adjusting a physiological model of an anatomical region containing blood vessels on the basis of patient-specific 3D image data of the anatomical region. Since the physiological model includes at least one geometric parameter as well as functional parameters, in particular the at least one geometric parameter and/or the functional parameters can be adjusted. The 3D perfusion of the anatomical region is now simulated on the basis of the adjusted physiological model such that the patient-specific supply areas of the anatomical region are identified on the basis of the simulation.