Intervertebral Disc Positioning via CT Value Projection
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Solution Overview
Problem
Manual calibration of intervertebral disc parameters in medical imaging is prone to errors due to variability in physician experience and habits, leading to time-consuming and labor-intensive processes with limited accuracy in automatic detection technologies.
Innovation Solution
A medical image processing method that reconstructs a two-dimensional cross-sectional image from a volumetric image, projects CT values along the normal direction of the tissue centerline, and positions the imaged tissue based on the projection results, using dynamic thresholds to refine intervertebral disc positioning and determine center position, angle, and thickness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration method is used to determine intervertebral disc parameters, then the process is simple to operate, but the accuracy is low due to physician experience variability and time consumption is high
Solution Approach 1:
The patent replaces the manual mechanical calibration process with an automated image processing system. The system automatically extracts skeletal structures, determines centerlines, calculates CT values, and identifies intervertebral disc positions through algorithmic processing of volumetric images, eliminating the need for manual physician calibration while improving accuracy and reducing time consumption
Solution Approach 2:
The image processing system performs self-calibration by automatically detecting anatomical structures and parameters without requiring manual intervention. The system independently completes the entire calibration process from volumetric image input to final parameter extraction, making the process autonomous and efficient
2Productivity
If automatic detection technology is used to detect imaged tissue, then the time consumption is reduced, but the accuracy and robustness of recognition and positioning need improvement
Solution Approach 1:
The patent segments the complex image processing task into distinct modular steps: volumetric image acquisition, skeletal structure extraction, centerline determination, CT value calculation, and intervertebral disc positioning. Each step processes specific information independently, improving both efficiency through automation and accuracy through specialized processing at each stage
Solution Approach 2:
The patent transitions from two-dimensional scout images to three-dimensional volumetric image processing. By utilizing volumetric data and calculating CT values along the normal direction of the centerline in three-dimensional space, the system achieves more accurate and robust positioning compared to traditional two-dimensional manual calibration methods
Data Source
AI summary
The present invention provides a medical image processing method and a computer-readable storage medium. The method includes: reconstructing a two-dimensional cross-sectional image of an imaged tissue based on a volumetric image of the imaged tissue; projecting a CT value of the imaged tissue along a normal direction of the centerline of the imaged tissue in the two-dimensional cross-sectional image; and, positioning the imaged tissue based on the projection result of the CT value of the imaged tissue.