Revision Joint Planning With 3D Implant Removal Modeling
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Solution Overview
Problem
Existing surgical planning technologies face challenges in accurately segmenting and characterizing orthopedic joints with existing implants, leading to unreliable pre-operative and intra-operative guidance for surgical revision procedures.
Innovation Solution
A computing system employs image processing techniques to segment and identify existing implants, determine their type, and generate pre-implant morbid approximations of bones using statistical shape models, enabling improved surgical planning and guidance by providing 3D models of joint anatomy without the implant's presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual methods are used for surgical planning, then flexibility and customization are maintained, but time consumption and lack of precision increase
Solution Approach 1:
The system performs preliminary actions by automatically generating 3D models, measuring anatomical structures, and creating surgical plans before the actual surgery. Image data is processed pre-operatively to establish precise measurements and surgical guidance, eliminating the need for time-consuming manual measurements during the surgical procedure itself.
Solution Approach 2:
The system creates digital 3D copies and virtual models of the patient's actual anatomy from medical images. These virtual models serve as precise replicas that can be manipulated, measured, and used for surgical planning without requiring direct manual measurement of the physical anatomy, thereby improving precision while reducing time.
2Adaptability or versatility
If complex custom implants are designed for revision surgery, then patient-specific fit and function are improved, but manufacturing complexity and cost increase
Solution Approach 1:
The system employs a universal platform that combines automated image processing, 3D modeling, and measurement tools that can be applied across different implant types and surgical scenarios. This multi-functional platform handles various anatomical structures and implant configurations through standardized workflows, reducing manufacturing complexity while maintaining high adaptability for patient-specific customization.
Solution Approach 2:
The system achieves implant customization by modifying parameters within a standardized design framework rather than creating entirely unique designs for each patient. Key parameters such as size, shape, and positioning can be adjusted based on automated measurements from the patient's anatomy, allowing adaptability while keeping manufacturing processes relatively simple and consistent.
3Manufacturing precision
If traditional surgical techniques are used without pre-operative 3D modeling, then surgical speed may be maintained, but surgical accuracy and outcome prediction decrease
Solution Approach 1:
The system introduces an intermediary digital planning stage between diagnosis and surgery. Virtual 3D models and surgical simulations serve as intermediaries that allow surgeons to plan and visualize procedures before execution, improving surgical accuracy without requiring complex physical models or prototypes. The digital intermediary provides precise guidance while keeping the actual surgical procedure relatively simple.
Data Source
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AI summary
A system is configured to obtain image data of a joint of a patient; determine that the joint includes an existing implant; and one or both of generate an identification of a type for the existing implant and generate a pre-implant, morbid approximation of the joint.