Intervertebral Disc Reconstruction via Automated Centrum Parameter Analysis
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Solution Overview
Problem
Current CT imaging technologies are inadequate for accurately and efficiently diagnosing intervertebral discs due to variations in spinal curvature, disc size, and disc direction among different patients.
Innovation Solution
A method and system that utilize scanning data to determine centrum parameters of the spine, identify intervertebral discs, and apply multi-planar reconstruction (MPR) protocols to reconstruct detailed images of target intervertebral discs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard CT imaging is used for intervertebral disc diagnosis, then the imaging process is simple and quick, but the diagnostic accuracy is insufficient due to patient variations in spinal curvature, disc size, and disc direction
Solution Approach 1:
The system performs preliminary actions by automatically determining centrum parameters and identifying intervertebral discs before image reconstruction. This pre-processing includes detecting spinal curvature, disc size, and disc direction, then setting customized reconstruction protocols accordingly, which resolves the contradiction by preparing the imaging parameters in advance to achieve accurate diagnosis without requiring complex manual adjustments during the imaging process
Solution Approach 2:
The imaging system dynamically adapts reconstruction protocols based on individual patient anatomy. The system adjusts imaging parameters such as slice thickness, slice count, and reconstruction dimension according to the detected spinal curvature, disc size, and disc direction. This dynamic adaptation enables high diagnostic accuracy for each patient while maintaining system simplicity through automated parameter adjustment
2Measurement precision
If customized imaging protocols are created for each patient to account for individual variations, then diagnostic accuracy improves, but the imaging process becomes more time-consuming and complex
Solution Approach 1:
The system implements self-service by automatically determining centrum parameters and generating customized reconstruction protocols without requiring manual intervention. The imaging system autonomously detects patient-specific anatomical features and configures appropriate imaging parameters, which maintains high imaging accuracy while minimizing the time and complexity associated with protocol creation
Solution Approach 2:
The system performs preliminary determination of centrum parameters and automatic identification of intervertebral discs before the actual imaging reconstruction. This pre-configuration of imaging parameters based on detected anatomical features reduces the time required during the imaging process itself, as the protocols are already optimized for each patient's specific anatomy
3Measurement precision
If manual adjustment of imaging parameters is performed for each intervertebral disc, then imaging accuracy improves, but the operation becomes more complex and less efficient
Solution Approach 1:
The system performs self-service by automatically determining centrum parameters and identifying intervertebral discs, then generating appropriate reconstruction protocols without manual adjustment. This automation maintains high disc imaging precision by calculating optimal parameters based on detected anatomical features while eliminating the need for complex manual operations
Solution Approach 2:
The system replaces manual mechanical adjustment of imaging parameters with automated computational determination. The processor automatically calculates centrum parameters, identifies intervertebral discs, and generates reconstruction protocols based on detected anatomical data, substituting manual operations with computational processes that maintain precision while improving ease of operation
4Manufacturing precision
If detailed reconstruction protocols are applied to each intervertebral disc, then imaging quality improves, but the processing complexity and computational requirements increase
Solution Approach 1:
The system applies segmentation by determining centrum parameters for each vertebral body and identifying individual intervertebral discs separately. This segmentation allows customized reconstruction protocols to be applied to each disc based on its specific anatomical characteristics, achieving high image reconstruction quality while managing processing complexity through modular, disc-by-disc analysis
Solution Approach 2:
The system implements local quality by generating customized reconstruction protocols for each intervertebral disc based on local anatomical features such as disc size, disc direction, and surrounding spinal curvature. This localized approach ensures optimal image reconstruction quality for each specific disc region while the automated system manages the overall processing complexity
Data Source
AI summary
The present disclosure directs to a method for image processing. The method may include obtaining scanning data of a spine of a subject, determining one or more centrum parameters of each of a plurality of centrums of the spine based on the scanning data, and identifying at least one intervertebral disc based on the one or more centrum parameters. Each of the at least one intervertebral disc may be between a pair of neighboring centrums of the plurality of centrums. The method may include determining an intervertebral disc reconstruction protocol of each of the at least one intervertebral disc, determining a target intervertebral disc of the at least one intervertebral disc, and reconstructing one or more images of the target intervertebral disc based on an intervertebral disc reconstruction protocol of the target intervertebral disc. The intervertebral disc reconstruction protocols may relate to MPR.