3D Knee Surgery Planning With Calibrated Alignment Reference Frames
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Solution Overview
Problem
Current surgical methods for procedures like total knee arthroplasty face challenges due to a lack of standardized reference frames for bone morphology and joint alignment, leading to variability in surgical techniques and uncertain outcomes, with traditional preoperative planning hindered by incomplete visualization and reliance on two-dimensional measurements.
Innovation Solution
The development of devices and systems for obtaining an interpretable 3D model of a limb using imaging data, reconstructing anatomical landmarks, and calibrating a measurement reference system, enabling precise surgical planning and monitoring through machine learning algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional preoperative planning methods are used, then the process is simpler and less expensive, but the visualization is incomplete and measurements are limited to two dimensions
Solution Approach 1:
The patent transitions from two-dimensional imaging to three-dimensional reconstruction by processing multiple 2D images through algorithms that generate volumetric 3D models of bone anatomy. This dimensional change enables comprehensive visualization and precise measurement of bone morphology, joint alignment, and implant positioning that cannot be achieved with traditional 2D methods alone.
Solution Approach 2:
The patent introduces a computational intermediary system that bridges traditional imaging and surgical planning. This intermediary processes imaging data through specialized algorithms to generate standardized 3D reference frames and virtual models, serving as a mediator between raw imaging data and surgical decision-making.
2Reliability
If intraoperative landmark acquisition is relied upon, then the surgical procedure can be performed, but biases and uncertainties are introduced that compromise measurement consistency
Solution Approach 1:
The patent performs preliminary action by establishing a standardized 3D reference frame and acquiring anatomical landmarks during the preoperative phase using imaging data. This preliminary 3D reconstruction and landmark identification creates a stable, accurate reference model before surgery, eliminating the need to rely on potentially biased intraoperative landmark acquisition and ensuring measurement consistency throughout the surgical process.
3Manufacturing precision
If standardized 3D reference frames are implemented, then measurement consistency and surgical precision improve, but the system complexity and computational requirements increase
Solution Approach 1:
The patent creates a universal 3D reference frame system that serves multiple functions: it provides standardized measurements for bone morphology, establishes joint alignment references, guides implant positioning, and enables osteotomy planning. This multi-functional reference system consolidates what would otherwise require multiple separate measurement and planning tools into a single integrated framework, improving surgical precision while managing system complexity through functional integration.
Data Source
AI summary
Methods, devices and systems for planning, monitoring, simulating and/or evaluating a knee surgery procedure. Imaging data of the lower limb is acquired. Interpretable 3D models are generated and combined with static and dynamic parameters into an enhanced bone model. Intervention strategy is simulated. Deviations from the intervention strategy are monitored during surgery. Clinical outcome is predicted from machine learning. Methods for calibrating knee surgery imaging data, establishing an alignment reference frame, and simulating an intervention strategy in a knee surgery procedure.