3D Tracked Cartilage Model for Arthroscopic Navigation
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Solution Overview
Problem
Current methods for diagnosing and treating articular cartilage diseases during arthroscopic procedures face challenges in accurately assessing and updating the quality of cartilage in real-time, particularly due to limitations in visual cues and the complexity of cartilage geometry, which can lead to inaccurate surgical outcomes.
Innovation Solution
A system that uses 3D tracked devices to acquire and incorporate multimodal data into a volumetric osteo-cartilaginous model, enabling real-time navigation and ongoing therapeutic assessments, and allows for the updating of this model during procedures to quantify changes made by the surgeon, thereby providing a robust and motion-artifact-resistant assessment of cartilage quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct visualization is used to inspect articular cartilage during arthroscopy, then the procedure remains minimally invasive, but the ability to accurately assess cartilage quality is limited by insufficient visual cues and complex geometry
Solution Approach 1:
The patent combines multiple imaging modalities (ultrasound, OCT, MRI) and navigation systems into an integrated arthroscopic platform. This merging allows comprehensive cartilage assessment including surface topology mapping, subsurface structural evaluation, and real-time quality scoring, overcoming the limitations of direct visualization while maintaining minimal invasiveness through coordinated multi-modal data fusion
Solution Approach 2:
The system transitions from 2D visual inspection to 3D volumetric assessment by constructing detailed three-dimensional models of cartilage structure. This dimensional enhancement enables accurate measurement of cartilage thickness, surface irregularities, and internal architecture that cannot be perceived through traditional arthroscopic visualization alone
2Measurement precision
If traditional visual assessment methods are used, then the procedure is simple and quick, but the ability to locate and evaluate healthy candidate cartilage sites and precisely map lesion locations is difficult and subjective
Solution Approach 1:
The patent replaces subjective visual assessment with automated computer-based analysis systems. Image processing algorithms automatically detect lesion boundaries, calculate cartilage quality metrics, and generate precise spatial maps, eliminating human subjectivity and significantly reducing the time required for accurate cartilage evaluation compared to manual visual inspection
Solution Approach 2:
The system creates digital 3D copies and virtual models of the cartilage structure that can be repeatedly analyzed without additional surgical time. These digital replicas allow for precise measurement and mapping that can be reviewed and reassessed after the procedure, separating the complex evaluation process from the actual surgical intervention
3Adaptability or versatility
If pre-surgical planning is performed using available imaging tools, then comprehensive cartilage information can be gathered, but the information remains static and cannot be updated during the procedure to reflect actual findings and therapeutic changes
Solution Approach 1:
The patent implements a dynamic navigation system that continuously updates the 3D cartilage model during arthroscopy. As the arthroscope moves through the joint, new imaging data is acquired and integrated in real-time, allowing the virtual model to adapt to actual anatomical variations and therapeutic changes. This dynamic updating enables the surgeon to navigate and plan based on current procedural findings rather than static pre-operative images
Solution Approach 2:
The system provides real-time feedback by comparing actual arthroscopic findings with the pre-surgical plan displayed on the navigation system. This feedback loop allows the surgeon to adjust the treatment approach based on actual cartilage quality and lesion characteristics discovered during the procedure, with the 3D model continuously reflecting these changes to guide subsequent surgical decisions
Data Source
AI summary
In one embodiment of the present invention, a method is provided for assisting cartilage diagnostic and therapeutic procedures and includes the steps of acquiring 3D osteocartilaginous parameters by using multimodal 3D tracked devices; incorporating these parameters into a volumic anatomic osteocartilaginous model from which a bone tracking virtual real-time environment is built; three-dimensionally computing an osteocartilaginous quality score from this multiparametric 3D osteocartilaginous model; providing real-time navigation in this 3D virtual environment in order to make ongoing therapeutic assessments and adjustments; and updating steps 1 to 3 according to the performed therapy. It will be appreciated that the above steps are compatible with arthroscopic procedures involving cartilage.