Orthopedic Planning System Using 3D Bone Models
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Solution Overview
Problem
Current surgical planning for orthopedic procedures lacks efficiency and accuracy, as surgeons often make decisions during surgeries without preoperative analysis of patient-specific bone or joint conditions, leading to potential inefficiencies and inaccuracies in implant selection and surgical execution.
Innovation Solution
A method for orthopedic planning and management that involves generating patient-specific three-dimensional models from preoperative image data, comparing plans against reliability criteria, and providing an interactive interface for surgeons to review and approve surgical plans, which includes selecting implants and instrumentation, and generating postoperative outcome reports for comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If surgeons make intraoperative decisions without preoperative planning, then surgical flexibility is maintained, but surgical efficiency and accuracy deteriorate
Solution Approach 1:
The system performs preoperative surgical planning by generating 3D patient-specific bone models from medical images, identifying anatomical landmarks, and simulating surgical procedures before the actual surgery. This preliminary action allows surgeons to review and approve surgical plans, select appropriate implants, and optimize surgical approaches in advance, thereby improving surgical efficiency and accuracy without adding excessive complexity to the surgical process
2Manufacturing precision
If patient-specific three-dimensional modeling is implemented, then manufacturing precision of implants improves, but device complexity increases
Solution Approach 1:
The system creates accurate digital 3D copies of patient-specific bone structures by processing medical images (CT or MRI scans) and generating patient-specific 3D models. These digital copies include identified anatomical landmarks and can be used to simulate surgical procedures and select appropriate implants. This copying approach enables high manufacturing precision for customized implants while avoiding the need for complex physical modeling systems
Solution Approach 2:
The system transforms medical image data into 3D models by changing the representation parameters from 2D images to 3D spatial coordinates. It identifies anatomical landmarks by detecting specific geometric features and parameters in the 3D model, such as curvature, orientation, and position of bone surfaces. This parameter transformation enables precise implant customization without requiring overly complex modeling algorithms
3Reliability
If preoperative surgical planning with reliability criteria is performed, then surgical reliability improves, but loss of time in planning increases
Solution Approach 1:
The system replaces manual surgical planning with an automated computer-based system that generates 3D patient-specific bone models, identifies anatomical landmarks, and simulates surgical procedures automatically. This mechanical substitution reduces the time required for preoperative planning while maintaining or improving surgical reliability through consistent application of reliability criteria and automated quality checks
Solution Approach 2:
The system performs self-service by automatically generating surgical plans, evaluating them against predetermined reliability criteria, and providing recommendations to surgeons. The automated system handles routine planning tasks, allowing surgeons to focus on reviewing and approving the generated plans rather than creating them from scratch, thereby reducing overall planning time while maintaining high reliability standards
Data Source
AI summary
A method can include receiving, at a server, preoperative image data of a patient's bone, and accessing, at the server, a database of three-dimensional model data. A patient specific three-dimensional model of the patient's bone can be generated, at the server. A preoperative surgical plan can be generated at the server, which can include comparing aspects of the preoperative surgical plan with predetermined reliability criteria. An interactive user interface for use by a surgeon to review the preoperative surgical plan can be provided, from the server, to a user device. Approval of the preoperative surgical plan can be received, at the server, via the interactive user interface. Postoperative image data of the patient's bone can be received at the server. A postoperative outcome study report can be generated, at the server, and can include a comparison of the preoperative surgical plan with the postoperative image data.


