HPV Cell Detection via Intracellular Brightness Comparison
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Solution Overview
Problem
Current methods for detecting Human Papillomavirus (HPV) infected cells are inaccurate, time-consuming, and burdensome for pathologists, with a need for digital diagnostic equipment to streamline Pap smear analysis while maintaining reliability.
Innovation Solution
An image analyzing device that transforms cell images from RGB to HSV color coordinates, captures cell outlines, identifies tangent pixels, and calculates brightness and hue averages to determine HPV infection by comparing extracellular and intracellular regions, using a Sobel operator and artificial neural network for accurate and rapid diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual identification methods (cytologic test, thin-cytologic test) are used to detect HPV infected cells, then the detection can be performed with simple equipment, but the accuracy and timeliness of detection deteriorates
Solution Approach 1:
The patent replaces manual mechanical identification methods with an automated digital image analysis system. The system uses color transformation (RGB to HSV), cell outline capture, tangent identification, and automated calculation of brightness and hue averages to detect HPV-infected cells, eliminating manual pathologist review while improving both accuracy and speed.
Solution Approach 2:
The patent transforms the detection approach by changing from manual visual assessment to automated analysis of specific image parameters. It calculates brightness averages and hue averages of pixels on either side of cell tangents, using these quantitative parameters to objectively determine HPV infection status, thereby improving measurement precision and reducing detection time.
2Productivity
If digital pathologic screening equipment is introduced to identify HPV infected cells, then the screening time is reduced and productivity increases, but the device complexity increases
Solution Approach 1:
The patent segments the image analysis process into distinct functional modules: color transformation unit (RGB to HSV), cell outline capture unit, outline pixel capture unit, identification unit for tangents, and calculation unit for brightness and hue averages. This modular segmentation enables automated high-speed processing while keeping each component relatively simple and manageable.
Solution Approach 2:
The patent converts complex pathological assessment into simple quantitative comparisons of brightness and hue parameters. By calculating averages of these parameters on either side of cell tangents and comparing them, the system achieves automated detection with straightforward computational logic, reducing the effective complexity of the analytical process.
3Reliability
If more Pap smears are processed to expand screening coverage, then the public health benefit increases, but the workload for pathologists increases excessively
Solution Approach 1:
The patent replaces the mechanical process of manual pathologist review with an automated digital image analysis system. This substitution allows unlimited scaling of screening capacity without proportionally increasing pathologist workload, as the automated system can process any number of Pap smears without fatigue or additional resource requirements.
Solution Approach 2:
The system enables self-service automated detection where the digital pathology equipment independently performs cell identification, parameter calculation, and HPV infection determination without requiring pathologist intervention for each case. This allows the system to handle expanded screening volumes autonomously, maintaining reliability while eliminating the workload bottleneck.
Data Source
AI summary
The present invention discloses a method for detecting whether cells are infected with human papillomavirus (HPV), and the method includes: (a) capturing a contour of a cell of a cell image, wherein the contour has a contour pixel thereon; (b) identifying a tangent of the contour pixel on the contour to define in relation to the tangent a first side and a second side opposite to the first side, wherein the first side indicates the intracellular region of the cell and the second side indicates the extracellular region of the cell; (c) calculating an optical parameter average of the plurality of pixels on both of the first side and the second side; and (d) determining whether the cell is infected with HPV based on whether the optical parameter average on the first side is smaller than that on the second side.