3D Humerus Fracture Reconstruction for Orthopedic Surgical Planning
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Solution Overview
Problem
Existing classification systems for proximal humerus fractures suffer from poor inter- and intra-observer reproducibility due to the complex anatomy and difficulty in interpreting three-dimensional fractures on two-dimensional radiographs, making it challenging to select and position prosthetics optimally during surgical procedures.
Innovation Solution
A computing device is configured to analyze CT scans to detect and classify fracture patterns, recommend treatment procedures, and provide guidance for manipulating bone fragments, using statistical shape models and image processing techniques to reconstruct pre-morbid anatomy and assist in prosthetic selection and positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If classification systems are used to categorize fracture patterns, then the complexity of analyzing three-dimensional fractures is reduced, but the inter- and intra-observer reproducibility deteriorates
Solution Approach 1:
The patent creates a digital 3D copy of the patient's bone anatomy from CT scan data. This virtual replica allows consistent, objective analysis of fracture patterns without the variability inherent in manual interpretation of 2D radiographs. The digital model can be repeatedly viewed, measured, and analyzed by different observers to achieve high reproducibility.
Solution Approach 2:
The patent transitions from two-dimensional radiographic imaging to three-dimensional digital modeling. This dimensional change enables comprehensive visualization and measurement of complex fracture patterns from multiple angles, providing both simplified classification capability and high analytical reproducibility through objective digital metrics.
2Ease of manufacture
If two-dimensional radiographs are used to interpret fractures, then the imaging process remains simple and accessible, but the accuracy of fracture pattern analysis deteriorates
Solution Approach 1:
The patent performs preliminary processing of CT scan data to automatically generate 3D bone models and fracture classifications before the surgical procedure. This advance preparation provides accurate fracture analysis and prosthetic planning without adding complexity to the actual imaging acquisition process.
Solution Approach 2:
The patent introduces a computational intermediary system that processes CT scan data to create 3D models and automated classifications. This intermediary layer translates complex 3D anatomical data into simplified, accurate fracture patterns and prosthetic recommendations, bridging the gap between imaging and surgical planning.
3Adaptability or versatility
If manual analysis of fracture patterns is performed, then the system remains flexible and adaptable, but the time required for preoperative planning increases
Solution Approach 1:
The patent implements automated algorithms that independently analyze CT scan data, classify fracture patterns, and generate surgical planning recommendations without requiring manual intervention. This self-service capability maintains adaptability to various fracture types while dramatically reducing the time needed for preoperative analysis.
Solution Approach 2:
The patent replaces manual mechanical analysis of fracture patterns with automated computational algorithms. This substitution maintains the flexibility to handle diverse fracture configurations through algorithmic adaptability while eliminating the time-consuming manual measurement and classification processes.
4Ease of operation
If prosthetic selection and positioning are performed without advanced imaging analysis, then the surgical procedure remains straightforward, but the surgical outcome quality deteriorates
Solution Approach 1:
The patent performs preliminary 3D reconstruction and virtual surgical planning using CT scan data before the actual surgery. This advance preparation optimizes prosthetic selection and positioning, ensuring high surgical outcomes while keeping the intraoperative procedure straightforward by having all planning decisions made in advance.
Solution Approach 2:
The patent creates a digital 3D copy of the patient's anatomy and fracture pattern to facilitate virtual prosthetic design and positioning planning. This virtual model enables precise prosthetic selection and placement optimization without complicating the actual surgical implementation, as the planning is completed beforehand.
Data Source
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AI summary
A surgical system can be configured to obtain image data of a joint that comprises at least a portion of a humerus; segment the image data to determine a shape for a diaphysis of the humerus; based on the determined shape of the diaphysis, determine an estimated pre-morbid shape of the humerus; based on the estimated shape of the humerus, identify one or more bone fragments in the image data; and based on the identified bone fragments in the image data, generate an output.