Knee Joint Condition Analysis Using Normalized Spacing Ratios
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Solution Overview
Problem
Existing medical image analysis methods for joint conditions rely on absolute joint spacing values, which are influenced by external factors like gender, race, and body type, leading to inaccurate results due to variations in these factors.
Innovation Solution
A medical image analysis method that uses a trained knee detection model to acquire feature regions from medical images, allowing for the division of the images into target knee images that minimize the influence of external factors, thereby providing objective joint condition information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If absolute joint spacing values are used to assess joint conditions, then the assessment process is simple, but the accuracy is reduced due to variations caused by external factors such as gender, race, and body type
Solution Approach 1:
The patent transforms the assessment from using absolute joint spacing values to using ratio values (joint spacing divided by bone width). This parameter change eliminates the influence of external factors like gender, race, and body type, while maintaining assessment simplicity through automated calculation.
Solution Approach 2:
The patent introduces a new dimension of analysis by incorporating bone width as a reference parameter. Instead of assessing joint spacing in isolation, the system evaluates the ratio of joint spacing to bone width, providing a normalized metric that accounts for individual anatomical variations.
2Ease of operation
If absolute joint spacing values are used, then the measurement process is straightforward, but errors occur due to system and program variations of imaging devices
Solution Approach 1:
The patent changes the measurement parameter from absolute joint spacing to a ratio of joint spacing to bone width. This normalization approach eliminates systematic errors from different imaging devices and programs, ensuring consistent results across various systems while maintaining operational simplicity.
3Ease of manufacture
If absolute joint spacing values are used for comparison across patients, then the comparison process is simple, but the results are inaccurate due to body type variations
Solution Approach 1:
The patent transforms the comparison metric from absolute joint spacing values to normalized ratio values (joint spacing/bone width). This allows straightforward comparison across patients with different body types, genders, and races, while eliminating the inaccuracy caused by anatomical variations.
Solution Approach 2:
The patent adds bone width as a reference dimension to normalize joint spacing measurements. This creates a dimensionless ratio that enables accurate cross-patient comparison by accounting for differences in overall body size and anatomy.
Data Source
AI summary
A medical image analysis method according to an embodiment of the present application comprises the steps of: acquiring a medical image to be analyzed; acquiring a knee detection model that has been trained; acquiring a first feature region related to a first knee from the medical image through the knee detection model; acquiring a second feature region related to a second knee from the medical image through the knee detection model; and acquiring a first knee image to be analyzed, related to the first knee, and a second knee image to be analyzed, related to the second knee, on the basis of the first feature region and the second feature region of the medical image.