Medical Image Processing for Embolization Order Optimization
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Solution Overview
Problem
Current endovascular treatments for arteriovenous malformation lack a systematic approach to determine the optimal order and risk evaluation for embolizing blood vessels, leading to potential complications due to unpredictable changes in hemodynamics during the procedure.
Innovation Solution
A medical image processing apparatus that extracts vascular networks from volume data, performs computational fluid dynamics (CFD) simulations for various embolization orders, and evaluates risks based on CFD parameters to recommend the most stable embolization order, thereby reducing operational risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple blood vessels are embolized in one treatment to improve efficiency, then the treatment productivity increases, but the hemodynamic stability deteriorates causing increased bleeding risk
Solution Approach 1:
The invention performs preliminary CFD simulations to calculate hemodynamic changes before actual embolization. By simulating different embolization scenarios in advance, the system determines the optimal sequence that maintains hemodynamic stability while achieving treatment goals. This preliminary analysis allows multiple vessels to be embolized safely by predicting and avoiding dangerous hemodynamic shifts.
Solution Approach 2:
The system uses CFD simulation results as feedback to adjust the embolization plan. By continuously evaluating hemodynamic parameters (blood flow velocity, pressure changes) after each virtual embolization step, the system provides feedback on whether to proceed with the next embolization or modify the sequence, ensuring safety while maintaining treatment efficiency.
2Reliability
If the blood flow in veins decreases to reduce embolization risk, then the safety improves, but the treatment effectiveness deteriorates due to insufficient embolization
Solution Approach 1:
The invention changes the approach by not simply reducing blood flow, but by optimizing the embolization sequence based on CFD-calculated hemodynamic parameters. The system identifies specific time points and flow conditions under which embolization should be performed, allowing effective treatment while maintaining safety through precise parameter control rather than conservative flow reduction.
3Ease of operation
If embolization is performed in an impromptu manner without pre-planning, then the operational flexibility improves, but the risk of unexpected incidents increases
Solution Approach 1:
The system performs preliminary CFD simulations to create a detailed embolization plan before the actual procedure. This pre-planning includes calculating hemodynamic changes for different embolization sequences, identifying optimal timing, and predicting potential complications. The surgeon can then follow this pre-calculated plan, combining the safety of planning with the flexibility of surgical judgment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus provides a quantitative evaluation of operation risks and recommends the most stable embolization order, helping surgeons develop a comprehensive treatment plan by predicting hemodynamic changes and minimizing the risk of bleeding.
Implementation Method 1
The processing circuitry performs simulation analysis by use of computational fluid dynamics (CFD) for each of the cases where the feeders are embolized in different permutations and combinations
Data Source
AI summary
According to the embodiments, a medical image diagnosis apparatus includes a memory and processing circuitry. The memory stores volume data on a target portion including a vessel network and a plurality of blood vessels connected to the vessel network. The processing circuitry extracts the vessel network and the blood vessels from the volume data. The processing circuitry analyzes how hemodynamics in the vessel network are after treatment of the vessels.