Blood Vessel Shape Model for Fluid Analysis
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Solution Overview
Problem
Current blood vessel analysis technologies require significant time and effort, making it difficult to perform analyses in acute phases, as they involve time-consuming measurement and analysis methods that are not suitable for immediate or urgent situations.
Innovation Solution
A medical image processing apparatus that acquires time-series medical images of blood vessels, generates a blood vessel shape model with time-series variation information, and performs fluid analysis using this model to quickly assess blood flow dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional blood vessel analysis methods are used, then measurement precision and analysis accuracy are improved, but analysis time and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically detecting blood vessel structures and pre-calculating analysis parameters from medical images before actual measurement. The processing circuitry identifies blood vessel regions, extracts shape information, and prepares analysis data in advance, so that when analysis is needed, the time-consuming measurement steps have already been completed or simplified.
Solution Approach 2:
The system creates a digital copy or model of the blood vessel structure from medical images. The processing circuitry generates a blood vessel shape model that replicates the actual vessel geometry, allowing virtual measurements and simulations to be performed on this model rather than requiring direct, time-consuming measurements from the original images or physical specimens.
2Measurement precision
If conventional blood vessel analysis methods are used, then measurement precision is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system merges multiple functions into a single integrated processing circuitry. The circuitry simultaneously performs image processing, blood vessel detection, shape extraction, and analysis calculation in one unified system, eliminating the need for separate devices and manual operations for each step, thereby reducing overall system complexity while maintaining precision.
Solution Approach 2:
The processing circuitry performs self-service by automatically detecting blood vessel structures, extracting relevant parameters, and conducting analysis without requiring complex manual operations. The system autonomously identifies regions of interest, measures blood vessel shapes, and generates analysis results, reducing the need for complex user intervention and simplifying operation.
3Loss of information
If conventional blood vessel analysis methods are used, then comprehensive measurement data are obtained, but time and effort requirements increase
Solution Approach 1:
The system extracts only the essential measurement data and parameters needed for blood vessel analysis from the complete medical images. The processing circuitry identifies and extracts key features such as blood vessel shape, diameter, and length, while automatically filtering out unnecessary information, thus obtaining comprehensive measurement data more efficiently without requiring complete manual analysis of all image details.
Data Source
AI summary
A medical image processing apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to acquire time-series medical images including blood vessels of an examination subject, the time-series medical images being fluoroscopically captured in at least one direction at a plurality of points in time, generate a blood vessel shape model including time-series variation information about the blood vessels in an analysis region of the blood vessels on the basis of the acquired time-series medical images, and perform fluid analysis of blood flowing through the blood vessels on the basis of the generated blood vessel shape model.