Smartphone Blood Bag Imaging for Consistent Quality Assessment
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Solution Overview
Problem
Subjective visual assessment of blood product characteristics in blood containers is prone to variability due to differences in lighting conditions and camera characteristics, leading to inconsistent quality evaluation.
Innovation Solution
Utilizing a handheld device with image processing capabilities to standardize and automate the assessment of blood product quality, accounting for environmental lighting and camera quality variations, and enabling automated decision-making based on predefined criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual assessment is used to evaluate blood product quality, then the process is simple and quick, but the assessment consistency and objectivity deteriorate due to lighting conditions and observer variability
Solution Approach 1:
The patent replaces manual visual assessment with an automated image processing system that uses computational algorithms to analyze blood product characteristics. The system captures images and automatically evaluates parameters such as hemolysis, lipemia, and particulate matter, eliminating human observer variability and lighting condition dependencies while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
The system creates digital copies (images) of the blood product container and analyzes these copies using image processing algorithms. By working with digital representations rather than direct manual inspection, the system achieves consistent, objective measurements that are not affected by lighting conditions or observer differences, while the original physical assessment process remains simple.
2Reliability
If automated image processing is implemented to standardize quality assessment, then assessment objectivity improves, but system complexity and initial implementation difficulty increase
Solution Approach 1:
The system uses a universal image processing platform that can assess multiple blood product characteristics (hemolysis, lipemia, icterus, particulate matter) through a single integrated workflow. This multi-functional approach achieves high reliability for diverse assessment parameters while managing complexity through a unified system architecture rather than separate specialized systems for each parameter.
Solution Approach 2:
The system adjusts image processing parameters and algorithms to account for different lighting conditions, camera characteristics, and blood product types. By dynamically adapting processing parameters to match the specific assessment conditions, the system achieves consistent objective results across varying environments without requiring complex hardware modifications or multiple specialized systems.
3Adaptability or versatility
If visual assessment is performed under varying lighting conditions, then operational flexibility is maintained, but measurement precision deteriorates due to lighting-induced variability
Solution Approach 1:
The system incorporates feedback mechanisms that detect lighting conditions and camera characteristics during image capture and automatically adjust processing parameters accordingly. This feedback loop enables the system to maintain measurement precision across varying lighting conditions while preserving operational flexibility, as the system adapts to environmental conditions rather than requiring controlled environments.
Solution Approach 2:
The image processing system dynamically changes processing parameters based on detected lighting conditions and camera characteristics. By adjusting parameters such as contrast enhancement, color space transformation, and threshold values in response to environmental conditions, the system maintains accurate measurements while allowing flexible operation under diverse lighting conditions without requiring standardized lighting environments.
Data Source
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AI summary
A characteristic of a blood product in a blood product container is determined. Using a smartphone, an image is acquired of a blood bag or tubing of the blood product container disposed in front of the smartphone. The image is processed using a processing circuit of the smartphone or a remote computer in wireless communication with the smartphone. The processing identifies a characteristic of the blood product from the image. A visual notification is generated on a display of the smartphone of the identified characteristic of the blood product.