Patient-Specific Spinal Implant Planning With 3D Mesh Simulation
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Solution Overview
Problem
Conventional spinal implants fail to precisely match the unique anatomy of each patient's spine, leading to suboptimal outcomes, and the design and manufacturing process is time-consuming and requires extensive collaboration.
Innovation Solution
A system and method using advanced imaging, 3D modeling, and 3D printing technologies to create patient-specific spinal implants, allowing real-time manipulation of a 3D mesh model of the spine for precise fit, with surface-mapped endplates and secure data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional spinal implants are used, then the manufacturing process is simple and fast, but the implant does not precisely match the patient's unique spine anatomy
Solution Approach 1:
The system performs preliminary actions by creating a complete 3D model of the patient's spine anatomy before implant manufacturing begins. This includes segmenting vertebrae, generating surface meshes, and pre-calculating optimal implant positions and orientations, which guides the subsequent custom implant fabrication process
Solution Approach 2:
The invention applies local quality by creating patient-specific implant geometries that precisely match the unique anatomical features of each patient's spine. The implant design incorporates localized adaptations to match specific vertebral body shapes, endplate configurations, and spinal curvature characteristics rather than using standardized forms
2Manufacturing precision
If custom patient-specific implants are designed manually, then the anatomical fit is improved, but the design and manufacturing time increases significantly
Solution Approach 1:
The system replaces manual mechanical design processes with automated computational algorithms. Machine learning models automatically segment vertebrae from imaging data, generate 3D surface meshes, and optimize implant geometries, eliminating the need for time-consuming manual measurements and iterative design adjustments
Solution Approach 2:
The invention utilizes parameter changes by transforming medical imaging data into quantifiable anatomical parameters that directly drive implant design. The system extracts geometric parameters from patient scans and uses these to automatically generate optimized implant specifications, enabling rapid customization without manual intervention
3Reliability
If extensive collaboration between doctors and manufacturers is required, then the implant design is optimized, but the process becomes complex and time-consuming
Solution Approach 1:
The system introduces an intermediary digital platform that facilitates collaboration between doctors and manufacturers. This platform serves as a common interface where clinicians can input patient data and receive automated implant designs, eliminating the need for complex direct communication and coordination between multiple stakeholders
Solution Approach 2:
The invention enables self-service by allowing the system to automatically generate optimized implant designs based on patient imaging data without requiring extensive manual intervention. The automated algorithms perform design optimization independently, reducing the need for iterative reviews and adjustments between doctors and manufacturers
Data Source
AI summary
A system and method for planning and simulating a surgical operation to create a patient-specific spinal implant are disclosed. The system comprises a remote server configured to receive patient-specific medical image data and generate a 3D mesh model of the patient's spine using algorithms that separate vertebral bodies, remove artifacts, and smooth surfaces. A doctor's computer receives the 3D mesh model and allows real-time manipulation of intervertebral spaces to achieve a desired spinal curvature. The server generates a spinal implant design with surface-mapped endplates matching the patient's vertebral anatomy, which is transmitted to a 3D printer for manufacturing. The method includes steps of receiving image data, generating and updating the 3D mesh model based on doctor input, generating the final implant design, and transmitting it for production. The invention enables the creation of patient-specific spinal implants with improved conformity and surgical outcomes.