Tissue Injury Index Calculation from Medical Imaging Data
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Solution Overview
Problem
Current methods fail to accurately predict which multiply injured patients are at risk for systemic inflammation and organ failure, as they lack a reliable metric to quantify tissue damage from medical imaging data.
Innovation Solution
An analytical system and method that calculates a tissue injury index by measuring the volume of tissue damage from medical images, using a computing device to identify and quantify tissue injuries, and determining the risk of systemic inflammation and organ failure based on the total volume of tissue injury.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional clinical assessment methods are used to evaluate tissue damage, then the assessment process is simple and quick, but the prediction accuracy for systemic inflammation and organ failure is insufficient
Solution Approach 1:
The patent replaces traditional mechanical/clinical assessment methods with an automated image processing system that uses computational algorithms to analyze medical images and calculate tissue damage volume, thereby improving measurement precision while managing complexity through automation
Solution Approach 2:
The patent introduces a computational model and image processing software as intermediaries between the medical images and clinical decision-making, enabling accurate tissue damage quantification that bridges the gap between imaging data and clinical prediction needs
2Reliability
If a reliable metric for tissue damage quantification is implemented, then the ability to predict systemic inflammation and organ failure is improved, but the complexity of the analysis system increases
Solution Approach 1:
The patent segments the complex analysis task into distinct components: image acquisition, image processing, tissue damage identification, volume calculation, and risk prediction, allowing each component to be optimized independently while maintaining overall system reliability
Solution Approach 2:
The patent transforms qualitative clinical assessment into quantitative measurement by changing the parameter from subjective clinical evaluation to objective tissue damage volume measurement, thereby improving reliability through standardized metric
3Measurement precision
If manual assessment of tissue damage is performed, then the equipment requirements are minimal, but the measurement precision and consistency are insufficient
Solution Approach 1:
The patent uses digital copying of medical images and creates virtual models of tissue damage, allowing precise measurement without physical manipulation of specimens, thereby improving measurement precision while maintaining ease of implementation through software-based solutions
Data Source
AI summary
Example embodiments are described that relate to the analysis of tissue damage in an injured patient. Example embodiments are methods and systems for collecting medical imaging data, identifying tissue damage in the medical imaging data, analyzing the tissue damage shown in the medical imaging data, and/or quantifying the tissue damage shown in the medical imaging data. The disclosed methods allow for determining a risk for multiple organ failure and systemic inflammation in a multiply injured patient.