Brain Perfusion Imaging With Hypodensity Overlays for Stroke Damage Assessment
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Solution Overview
Problem
Existing imaging techniques underestimate the extent of brain tissue damage due to disrupted blood supply, leading to ineffective treatment options as they fail to account for irreversibly damaged tissue not detectable in perfusion images.
Innovation Solution
Combine perfusion-based imaging with non-perfusion-based imaging to generate overlays indicating both perfusion parameters and hypodensity, providing a more accurate assessment of brain tissue damage by integrating perfusion parameters and hypodensity analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If perfusion-based imaging is used to assess brain tissue damage, then the imaging process is simple and quick, but the measurement precision is insufficient because it underestimates the extent of damage by missing irreversibly damaged tissue
Solution Approach 1:
The patent combines perfusion-based imaging data with non-perfusion-based imaging data (such as hypodensity analysis from CT images) into a single integrated assessment system. This merging allows the system to detect both perfusion parameters and irreversible tissue damage, thereby improving measurement precision without requiring completely separate imaging systems
Solution Approach 2:
The imaging system is designed to perform multiple functions: it can assess both perfusion parameters (indicating reversible damage) and hypodensity patterns (indicating irreversible damage) using a unified platform. This multi-functionality allows a single system to provide comprehensive tissue damage assessment across different pathological stages
2Reliability
If only perfusion-based imaging is used, then the treatment decision process is simple, but the reliability of treatment decisions is compromised due to incomplete information about irreversible tissue damage
Solution Approach 1:
The system performs preliminary assessment of both perfusion parameters and hypodensity indicators simultaneously during the imaging process, rather than requiring sequential assessments. This preliminary action ensures that complete information about both reversible and irreversible damage is available before treatment decisions are made, improving reliability without significantly extending decision time
Solution Approach 2:
The patent introduces an intermediary processing layer that integrates perfusion imaging data with non-perfusion imaging data (such as hypodensity analysis). This intermediary system synthesizes multiple data sources into a unified assessment, providing reliable treatment guidance while maintaining efficient decision-making processes
Data Source
AI summary
Images can be generated with overlays indicating an amount of brain tissue damage based on the disruption of blood supply. Imaging data can be analyzed to determine perfusion parameters with respect to regions of the brain of an individual. The thresholds for the perfusion parameters with respect to the presence of damaged brain tissue can be based on a period of time elapsed since the onset of a biological condition disrupting blood flow to one or more regions of the brain of the individual. The imaging data can also be analyzed to determine measures of hypodensity with respect to regions of the brain of the individual. A likelihood of the measures of hypodensity corresponding to damaged brain tissue can also be determined based on the period of time elapsed since the onset of the biological condition.