Remote CFD Workflow for Aneurysm Simulation
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Solution Overview
Problem
Conventional methods for generating medical image visualizations are cumbersome and inefficient, requiring interdisciplinary collaboration and limited by resource constraints at local medical facilities, resulting in simulation quality dependent on the expertise of involved personnel.
Innovation Solution
An optimized workflow and dedicated user interface that allows remote acquisition of patient image data, modification of segmented geometry, and transfer to a central location for simulation generation using Computational Fluid Dynamics or other algorithms, enhancing simulation quality and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional techniques are used to generate image visualizations, then simulations can be produced with interdisciplinary collaboration, but the process becomes cumbersome and inefficient requiring fixed cooperation between physician and technician
Solution Approach 1:
The system enables physicians to independently perform simulation generation using automated tools and algorithms. The workflow allows medical professionals to conduct simulations without requiring fixed collaboration with software technicians, as the system provides self-contained capabilities for image processing, segmentation, and simulation execution.
Solution Approach 2:
The simulation generation process is divided into distinct modular components including image acquisition, image processing, segmentation, mesh generation, and simulation execution. This segmentation allows each function to be performed by specialized software tools rather than requiring continuous interdisciplinary collaboration.
2Adaptability or versatility
If conventional techniques are used, then simulations can be generated locally, but limited resources at medical facilities hinder development of complex simulations
Solution Approach 1:
A centralized service provider acts as an intermediary, receiving image data from multiple medical facilities and performing complex simulations centrally. This mediator has access to advanced computational resources and expertise that individual facilities lack, while still serving patients at distributed locations through standardized interfaces.
Solution Approach 2:
The centralized service provider creates a universal simulation platform that can handle various simulation types (hemodynamic, structural, functional) for different medical facilities with diverse resource constraints. This multi-functional system serves multiple purposes and multiple clients through a single centralized infrastructure.
3Measurement precision
If simulations are generated locally, then immediate interpretation is possible, but the quality of simulation depends on the expertise of personnel at the facility
Solution Approach 1:
The system provides automated simulation generation and interpretation capabilities that do not depend on the expertise level of individual operators. The centralized platform performs all critical functions automatically, allowing facilities with limited expertise to access high-quality simulations without requiring specialized personnel.
Solution Approach 2:
The centralized service provider acts as an expert intermediary that performs sophisticated simulation analysis and interpretation. The mediator translates complex simulation results into clinically relevant information that can be understood and utilized by personnel at any facility regardless of their technical expertise.
4Ease of manufacture
If multiple tools are used for simulation generation, then comprehensive processing is achieved, but unwanted restrictions are imposed upon simulation generation
Solution Approach 1:
Multiple previously separate tools and functions are merged into a unified simulation platform. The system integrates image processing, segmentation, mesh generation, and simulation execution into a single cohesive workflow that can be accessed through one interface, eliminating the need to switch between multiple independent tools.
Solution Approach 2:
A single simulation platform provides universal functionality that previously required multiple specialized tools. The system can perform various types of simulations (CFD, FEA, image processing) and handle different data formats through a common interface, providing flexibility without requiring users to manage multiple separate software packages.
Data Source
AI summary
A system and method provide an optimized workflow and a dedicated user interface for image visualizations that facilitate medical diagnosis. Image data may be acquired via an imaging procedure at a remote medical facility. A physician may review the images on a display and mark-up/modify the images via the interface to create user-defined data. The image and user-defined data may be transmitted to a service provider. At the service provider, a software technician may generate a medical simulation using the image and user-defined data. The medical simulation may simulate actual conditions within the patient. Subsequently, the simulation results may be transferred to, or otherwise remotely accessed via a network from, the remote medical facility. As a result, medical treatment provided by remote facilities, which may only have limited resources in terms of personnel and equipment, may be enhanced and inefficiencies associated with the generation of medical simulations may be alleviated.