Preoperative Bone Graft Planning System for Donor Site Integrity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Surgical bone grafting often results in complications at the donor site, such as bone fractures, cosmetic deformities, and tissue damage due to insufficient bone density or volume, which can impact the success of the grafting procedure and implant fixation.
Innovation Solution
A preoperative planning system using image processing and mixed reality visualization to determine the suitability of a donor site for bone grafting by generating a bone graft template and providing guidance on the optimal extraction method, including the axis of cut, maximum depth, and tool selection, allowing for patient-specific surgical planning and execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a bone graft is harvested from a donor site, then the damaged or diseased bone can be repaired or conditioned for implantation, but the donor site may suffer from bone fractures, cosmetic deformities, or tissue damage due to insufficient remaining bone
Solution Approach 1:
The system performs preoperative planning and simulation before the actual bone grafting procedure. It uses image processing to create 3D models of the donor site and simulates various bone graft extraction scenarios to predict potential complications and optimize the surgical plan, allowing surgeons to make informed decisions about graft size, shape, and extraction method to minimize donor site damage
Solution Approach 2:
The system provides visual feedback through augmented reality overlays and mixed reality visualizations that show the predicted outcome of bone graft extraction on the donor site. This feedback mechanism allows surgeons to adjust their surgical plan in real-time based on the simulated results, ensuring that the harvested graft will not compromise the structural integrity or cosmetic appearance of the donor site
2Quantity of substance
If a large amount of bone is harvested from the donor site, then sufficient bone graft material is available for repairing damaged bone, but the donor site may not have enough remaining bone to ensure proper fixation of an implant
Solution Approach 1:
The system varies multiple parameters in the simulation including bone graft volume, shape, extraction depth, and location to find the optimal combination that provides sufficient graft material while preserving adequate bone density and structural integrity at the donor site. The image processing algorithms analyze bone density distributions and predict how different extraction scenarios will affect the remaining bone strength
Solution Approach 2:
The preoperative planning system calculates and visualizes the optimal bone graft dimensions and extraction parameters before surgery. It determines the maximum safe amount of bone that can be harvested by analyzing the donor site's bone stock and predicting the mechanical strength of the remaining bone, allowing surgeons to plan the exact graft size needed to avoid compromising donor site integrity
3Productivity
If traditional surgical planning methods are used without preoperative simulation, then the surgical procedure can be performed quickly, but the surgeon lacks information about the optimal extraction method and potential complications
Solution Approach 1:
The system creates a virtual copy or digital twin of the patient's donor site using image processing techniques. This virtual model allows for extensive simulation and planning without affecting the actual patient, enabling surgeons to explore multiple extraction scenarios and select the optimal approach before performing the actual surgery, thus preserving surgical time while gaining critical planning information
Data Source
AI summary
Techniques are described for bone graft selection in orthopedic surgery. Processing circuitry may determine a bone graft template for a bone graft to be connected to a first anatomical object, determine information indicative of placement of the bone graft template within a representation of a second anatomical object based on image data for one or more images of anatomical objects, and output the information indicative of the placement of the bone graft template within the representation of the second anatomical object.