3D Spine Morphology Simulation for Multi-Planar Surgical Alignment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current spinal surgery methods fail to achieve complete alignment in all planes due to reliance on angular data from the sagittal plane, neglecting coronal and axial plane alignment, and lack of accurate pre-operative and post-operative prediction, requiring resource-intensive and costly modeling processes.
Innovation Solution
The development of systems and methods for rapid generation of three-dimensional spinal simulations using X-ray or CT data, allowing for accurate representation of spinal morphology and prediction of surgical outcomes by morphing a generic spine model with patient-specific data, enabling better alignment and device customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional angular data modeling from sagittal plane is used, then surgical alignment in sagittal plane is improved, but alignment accuracy in coronal and axial planes deteriorates
Solution Approach 1:
The patent transitions from two-dimensional angular measurements in the sagittal plane to three-dimensional spatial coordinate modeling that encompasses all three anatomical planes (sagittal, coronal, and axial). This dimensional expansion allows simultaneous measurement and correction of spinal alignment in all planes, resolving the contradiction between sagittal alignment precision and multi-planar measurement accuracy.
Solution Approach 2:
The patent changes the fundamental parameters used for spinal modeling from angular measurements to three-dimensional spatial coordinates. This parameter transformation enables comprehensive representation of spinal morphology and alignment deviations in all anatomical planes, improving both surgical alignment precision and measurement accuracy simultaneously.
2Measurement precision
If detailed three-dimensional spinal modeling is performed, then prediction accuracy of post-surgical results is improved, but computational resources and time requirements increase
Solution Approach 1:
The patent creates a three-dimensional digital copy or simulation model of the patient's actual spine using spatial coordinates derived from medical imaging data. This virtual model allows accurate prediction of post-surgical outcomes without requiring physical prototypes or extensive computational resources, as the digital simulation can be rapidly modified and analyzed.
Solution Approach 2:
The patent performs comprehensive three-dimensional spinal modeling and surgical outcome prediction during the pre-operative planning phase. By conducting all simulations and analyses before surgery, the system eliminates the need for time-consuming post-operative adjustments while maintaining high prediction accuracy, thus improving modeling efficiency.
3Stability of the object's composition
If comprehensive three-plane alignment correction is implemented, then overall spinal balance is improved, but device complexity and surgical procedure complexity increase
Solution Approach 1:
The patent develops a universal three-dimensional modeling and simulation system that can assess and plan corrections for spinal alignment in all three anatomical planes simultaneously. This multi-functional platform integrates morphology measurement, alignment analysis, and surgical outcome prediction into a single system, improving overall spinal balance without proportionally increasing device complexity.
Solution Approach 2:
The patent introduces a three-dimensional spatial coordinate system as an intermediary framework that connects and integrates correction strategies across all three anatomical planes. This intermediary modeling approach simplifies the complex interaction between multi-planar alignment corrections by providing a unified coordinate-based representation, thereby reducing surgical system complexity while maintaining comprehensive spinal balance.
Data Source
AI summary
Disclosed are systems and methods for rapid generation of simulations of a patient's spinal morphology that enable pre-operative viewing of a patient's condition and to assist surgeons in determining the best corrective procedure and with any of the selection, augmentation or manufacture of spinal devices based on the patient specific simulated condition. The simulation is generated by morphing a generic spine model with a three-dimensional curve representation of the patient's particular spinal morphology derived from existing images of the patient's condition.