3D Volumetric Blood Flow Visualization in Extended Reality
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Solution Overview
Problem
Physicians face challenges in visualizing blood flow using augmented, virtual, or mixed reality headsets, particularly in accurately determining the direction and characteristics of blood flow in 3D volumes.
Innovation Solution
A method is developed to generate and display 3D volumetric datasets with flow-type visualization features, such as mobile point clouds or growing volumes, aligned with blood flow directions, using extended reality headsets, allowing for real-time visualization of blood flow patterns and adjustments based on fluid dynamics models, and incorporating tangible tools for sound visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 2D imaging is used to visualize blood flow, then the system complexity is low, but the visualization accuracy and understanding of blood flow direction are insufficient
Solution Approach 1:
The patent transitions from 2D imaging to 3D volumetric visualization to represent blood flow. By adding the third dimension, physicians can directly observe blood flow direction, velocity, and patterns in their natural anatomical context, significantly improving measurement precision and visualization accuracy without requiring complex additional hardware beyond standard VR/AR headsets.
Solution Approach 2:
The patent creates virtual copies of blood flow data by rendering 3D volumetric datasets from medical imaging (CT, MRI) and overlaying them in VR/AR environments. These virtual representations include flow direction indicators, velocity maps, and anatomical structures that can be manipulated and viewed from multiple angles, providing accurate visualization without requiring physical models or invasive measurement devices.
2Loss of information
If 3D volumetric datasets with flow visualization are implemented, then blood flow direction and characteristics become clearly visible, but the device complexity and processing requirements increase
Solution Approach 1:
The patent segments the 3D volumetric dataset into distinct components: anatomical structures (blood vessels, organs), flow direction indicators (arrows, streamlines), and velocity representations (color maps, shading). This segmentation allows each element to be processed and rendered independently, reducing overall processing complexity while maintaining complete information representation. The flow visualization elements can be selectively adjusted without reprocessing the entire dataset.
Solution Approach 2:
The patent performs preliminary processing of medical imaging data to generate pre-computed 3D volumetric datasets with embedded flow information before the VR/AR session. Flow direction, velocity, and other hemodynamic parameters are calculated in advance and stored as part of the volumetric dataset, eliminating the need for real-time computation during the imaging session and reducing processing complexity during actual use.
3Ease of operation
If real-time 3D visualization with moving fluids is displayed, then the understanding of flow dynamics is enhanced, but the computational load and energy consumption increase
Solution Approach 1:
The patent implements periodic updating of the 3D volumetric dataset in the VR/AR environment, where the dataset is refreshed at fixed intervals (e.g., 60-90 seconds) rather than continuously in real-time. Between updates, the visualization remains static, consuming minimal energy. This periodic refresh maintains ease of understanding for physicians while dramatically reducing computational load and energy consumption compared to continuous real-time rendering.
Solution Approach 2:
The patent introduces controlled dynamic elements into the static 3D visualization, such as slowly moving streamlines or pulsating flow indicators that animate according to the underlying hemodynamic data. These dynamic elements enhance the ease of understanding flow patterns and direction without requiring full real-time computation, as the animation follows pre-computed trajectories and timing parameters.
Data Source
AI summary
In this patent, we teach a method and apparatus for displaying flow-type visualization features that move in accordance with fluid dynamics models on extended reality displays. A user is able to select the type of flow of interest and the type of flow of non-interest and then display the type of flow of interest unhindered by the type of flow of non-interest. This technique has applications in medicine, such as modeling flow inside of the carotid artery. Also, outside of the medical field, this technique can have applications, such as in aeronautical engineering.


