Surgical Accuracy Analysis System Using Image Segmentation and Registration
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Solution Overview
Problem
Current methods for preoperative planning and postoperative analysis in robotic orthopedic joint replacement surgery lack the necessary tools and systems to refine accuracy and efficiency effectively.
Innovation Solution
A system utilizing computing devices to receive and process preoperative and postoperative patient data, including image segmentation and registration techniques, to compare planned and actual implant positions and orientations, thereby assessing the accuracy of surgical procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If preoperative planning and postoperative analysis tools are enhanced, then manufacturing precision of implant placement is improved, but device complexity increases
Solution Approach 1:
The system segments the analysis process into distinct modules: preoperative planning module, intraoperative guidance module, and postoperative analysis module. Each module handles specific tasks (e.g., implant selection, registration, accuracy assessment) independently, allowing complex functionality to be managed through modular components rather than a monolithic system.
Solution Approach 2:
The system performs preoperative planning actions before surgery, including selecting implant size and position, determining resection planes, and creating 3D patient-specific models. This preliminary preparation establishes the reference framework that simplifies intraoperative execution and enables automated postoperative comparison against the pre-planned parameters.
2Productivity
If robotic systems are used to perform orthopedic joint replacement surgery, then productivity is improved, but device complexity increases
Solution Approach 1:
The robotic system integrates multiple functions into a single platform: preoperative planning, intraoperative navigation and guidance, real-time tracking, and postoperative analysis. This multi-functional approach consolidates what would otherwise require separate systems, improving surgical workflow efficiency while managing complexity through integrated architecture.
Solution Approach 2:
The system implements continuous feedback loops during surgery by tracking the position of surgical tools and comparing them against the preoperative plan in real-time. This feedback enables automated adjustments and guidance, allowing the robotic system to perform complex tasks with high precision while reducing the cognitive burden on surgeons through automated decision-support.
3Manufacturing precision
If detailed preoperative planning is performed including 3D modeling, then manufacturing precision is improved, but loss of time occurs during planning phase
Solution Approach 1:
The system performs computationally intensive tasks such as 3D model generation, implant positioning optimization, and resection plane determination during the preoperative phase. By completing these complex calculations before surgery, the system establishes a detailed reference framework that guides the actual surgical execution, enabling high precision without requiring complex real-time computations during the procedure.
Solution Approach 2:
The system creates a digital 3D copy of the patient's anatomy from preoperative imaging data (CT or MRI scans). This virtual model serves as a reference that can be manipulated, measured, and used for planning without requiring physical manipulation of the patient's anatomy. The digital twin enables precise preoperative simulation and planning that translates directly to surgical execution.
Data Source
AI summary
A system for determining accuracy of a surgical procedure to implant an implant on a patient bone. The system including at least one computing device configured to perform the following steps. Receive preoperative patient data including preoperative images of the patient bone and planned implant position and orientation data. Receive postoperative patient data including postoperative images of the patient bone and an implant implanted on the patient bone. Segment the patient bone and the implant from the postoperative images of the patient bone and the implant. Register separately the patient bone and the implant from the postoperative images to the patient bone from the preoperative images. And compare an implanted position and orientation of the implant from the postoperative images relative to the patient bone from the preoperative images to the planned implant position and orientation data relative to the patient bone from the preoperative images.