3D CT Foraminal Stenosis Ratio Calculation Method
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Solution Overview
Problem
Current methods lack a quantitative and objective diagnostic tool for assessing foraminal stenosis, a common spinal condition that narrows the neural foramen and compresses spinal nerves, leading to pain and other neurological issues.
Innovation Solution
A method utilizing 3-dimensional CT imaging to calculate the foraminal stenosis ratio by extracting spine boundary and neural foramen area information based on pixel values, involving image capture, information extraction, storage, calculation, and output of maximum neural foramen area, angle, and stenosis ratio, with optional deep learning-based normal models for comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3-dimensional CT imaging is used to calculate foraminal stenosis ratio, then measurement precision and objectivity are improved, but device complexity and cost increase
Solution Approach 1:
The 3-dimensional CT system is segmented into distinct functional modules: image capturing unit, information extracting unit, information storing unit, information calculating unit, and output unit. Each module performs a specific task in the foraminal stenosis assessment workflow, making the complex system more manageable and understandable while maintaining high measurement precision
Solution Approach 2:
The information extracting unit performs multiple functions by analyzing pixel values to extract both spine boundary information and neural foramen area information from the same 3-dimensional CT images. This multi-functionality reduces the need for separate diagnostic tools and procedures
2Measurement precision
If quantitative assessment method is implemented, then diagnostic objectivity is improved, but information processing complexity increases
Solution Approach 1:
The system implements feedback through the information calculating unit, which automatically computes the foraminal stenosis ratio based on extracted neural foramen area information and compares it against established diagnostic criteria. This automated feedback loop ensures objective diagnostic assessment while reducing manual processing complexity
Solution Approach 2:
The information extracting unit automatically processes pixel values from 3-dimensional CT images to extract spine boundary and neural foramen area information without requiring manual measurement by physicians. The system serves itself by performing automated image analysis, reducing human workload while maintaining diagnostic objectivity
Data Source
AI summary
A method for providing a foraminal stenosis ratio using 3-dimensional CT includes (a) transmitting a spine image of a patient to an information extracting unit by an image capturing unit in response to an input signal transmitted from an input unit; (b) extracting spine boundary information and neural foramen area information based on a pixel value of the spine image by the information extracting unit; (c) storing the spine boundary information and the neural foramen area information by an information storing unit; (d) calculating the foraminal stenosis ratio by using the spine image, the spine boundary information, and the neural foramen area information by an information calculating unit; and (e) outputting maximum neural foramen area information of the neural foramen area information, a neural foramen angle for the maximum neural foramen area information, and the foraminal stenosis ratio by an output unit.