Standard Blood Flow Model for 4D MRI Abnormality Detection
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Solution Overview
Problem
Conventional 4D flow MRI systems face challenges in accurately distinguishing subtle differences in blood flow patterns, leading to reduced diagnostic accuracy and suboptimal treatment planning due to the complexity of data post-processing and interpretation.
Innovation Solution
A method and system utilizing a standard blood flow model generated from healthy individuals' data to quantify blood flow, involving vessel segmentation, integration, and comparison with a subject's 4D flow MRI images to identify abnormal regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional 4D flow MRI systems are used to measure blood flow, then three-dimensional velocity measurement with temporal resolution is achieved, but the complexity of data post-processing and interpretation increases, requiring considerable expertise and time
Solution Approach 1:
A standard blood flow model serves as an intermediary reference framework that mediates between the raw 4D flow MRI data and the diagnostic interpretation. The model provides pre-defined vascular anatomy and flow patterns that simplify the comparison process, allowing automated or semi-automated detection of abnormalities without requiring extensive manual analysis of complex hemodynamic data.
Solution Approach 2:
The patent creates a standardized copy or template of normal blood flow patterns from healthy individuals. This standard model is then used to compare against patient data, transforming the complex task of interpreting unique individual flow patterns into a simpler process of identifying deviations from the normal template, thereby reducing the expertise and time required for analysis.
2Speed
If conventional 4D flow MRI systems are used, then real-time measurement of hemodynamic characteristics is enabled, but the ability to distinguish subtle differences in blood flow patterns under various disease conditions is reduced
Solution Approach 1:
The standard blood flow model incorporates locally specific flow characteristics for different vascular regions and disease states. By comparing local flow patterns against region-specific normal patterns, the system can detect subtle local abnormalities that would be difficult to identify in global measurements, thereby improving diagnostic accuracy while maintaining real-time measurement capability.
Solution Approach 2:
The patent utilizes changes in multiple parameters (velocity, direction, pressure gradient, temporal variations) within the standard model to create a comprehensive reference. By analyzing deviations across these multiple parameters simultaneously, the system can distinguish subtle disease-related differences in blood flow patterns that single-parameter measurements would miss, enhancing diagnostic precision.
3Loss of information
If detailed analysis of 4D flow MRI data is performed, then comprehensive hemodynamic information is obtained, but the time and expertise required for data processing increase
Solution Approach 1:
The standard blood flow model extracts and pre-processes the most critical hemodynamic parameters and normal flow patterns from the complex 4D MRI data. By having this extracted information ready as a reference, the system can quickly compare patient data against the pre-processed standards, obtaining comprehensive hemodynamic information without requiring time-consuming manual extraction and analysis of all data dimensions.
Data Source
AI summary
A blood flow volume quantification system based on a blood flow modeling includes: an image receiver configured to receive 4D flow magnetic resonance imaging (MRI) images and MRI images of a plurality of non-diseased individuals; a representative model generation unit configured to perform vessel segmentation based on the received MRI images and to designate a representative model from among the MRI images in which vessel segmentation has been performed, based on a predetermined criterion; an integrated model generation unit configured to register MRI images of other non-diseased individuals to the representative model to generate an integrated model; and a standard blood flow model generation unit configured to register the 4D flow MRI images to the integrated model to generate a standard blood flow model.