RSIP Vision revealed preliminary results from an ongoing clinical study for the evaluation of the reconstruction of a 3D knee model from 2D x-ray images. This tool is based on novel, patent-pending technology, implementing advanced artificial intelligence (AI) to produce an accurate model of the knee from two x-ray images of the knee.
This model can be used for surgical planning and navigation during knee orthopedic procedures, such as total knee replacement.
The goal behind the development of this tool is to produce a high-grade, 3D model of the knee for surgical planning or navigation, with clinical and operational benefits.
The clinical benefit is lower levels of radiation exposure from x-ray imaging compared to a complete knee CT scan. Operationally, x-ray imaging has better accessibility than CT, is more widely reimbursed in the U.S. healthcare system, and is often lower in cost.
To address the challenge of 3D reconstruction from standard x-ray images, both AI technology and a custom-tailored, low-cost calibration device developed by RSIP Vision are employed. After acquisition of AP and lateral x-rays, the software automatically creates a detailed 3D model of the knee joint, which can then be used for surgical planning.
In the present clinical evaluation of this tool, the inputs to the system are two x-ray images of the knee: Anterior-Posterior and Lateral. The system automatically produces a 3D model of the femur and tibia. The accuracy of the tool is proven by comparing the resulting 3D models to the ground truth patient anatomy given in a corresponding CT scan.
RSIP Vision plans to expand this ex-U.S. clinical study into a medical center in the U.S., and ultimately receive FDA clearance. In parallel, RSIP Vision is working to extend this solution to additional anatomical regions such as the hip and shoulder joints.
“Robotic and patient-specific solutions for total knee arthroplasty (TKA) often require a CT scan for accurate 3D reconstruction of the knee bones,” said Moshe Safran, U.S. CEO at RSIP Vision. “Our knee reconstruction solution utilizes two standard x-ray images to produce a 3D model of the knee joint, comparable to the CT-based models. Our preliminary clinical study results demonstrate high accuracy, which we expect will be suitable for clinical applications.” The company believes that this solution may alleviate the need for a knee CT-scan for TKA preoperative planning, providing access to precision planning for a much wider patient population.
Source: RSIP Vision
RSIP Vision revealed preliminary results from an ongoing clinical study for the evaluation of the reconstruction of a 3D knee model from 2D x-ray images. This tool is based on novel, patent-pending technology, implementing advanced artificial intelligence (AI) to produce an accurate model of the knee from two x-ray images of the knee.
This...
RSIP Vision revealed preliminary results from an ongoing clinical study for the evaluation of the reconstruction of a 3D knee model from 2D x-ray images. This tool is based on novel, patent-pending technology, implementing advanced artificial intelligence (AI) to produce an accurate model of the knee from two x-ray images of the knee.
This model can be used for surgical planning and navigation during knee orthopedic procedures, such as total knee replacement.
The goal behind the development of this tool is to produce a high-grade, 3D model of the knee for surgical planning or navigation, with clinical and operational benefits.
The clinical benefit is lower levels of radiation exposure from x-ray imaging compared to a complete knee CT scan. Operationally, x-ray imaging has better accessibility than CT, is more widely reimbursed in the U.S. healthcare system, and is often lower in cost.
To address the challenge of 3D reconstruction from standard x-ray images, both AI technology and a custom-tailored, low-cost calibration device developed by RSIP Vision are employed. After acquisition of AP and lateral x-rays, the software automatically creates a detailed 3D model of the knee joint, which can then be used for surgical planning.
In the present clinical evaluation of this tool, the inputs to the system are two x-ray images of the knee: Anterior-Posterior and Lateral. The system automatically produces a 3D model of the femur and tibia. The accuracy of the tool is proven by comparing the resulting 3D models to the ground truth patient anatomy given in a corresponding CT scan.
RSIP Vision plans to expand this ex-U.S. clinical study into a medical center in the U.S., and ultimately receive FDA clearance. In parallel, RSIP Vision is working to extend this solution to additional anatomical regions such as the hip and shoulder joints.
“Robotic and patient-specific solutions for total knee arthroplasty (TKA) often require a CT scan for accurate 3D reconstruction of the knee bones,” said Moshe Safran, U.S. CEO at RSIP Vision. “Our knee reconstruction solution utilizes two standard x-ray images to produce a 3D model of the knee joint, comparable to the CT-based models. Our preliminary clinical study results demonstrate high accuracy, which we expect will be suitable for clinical applications.” The company believes that this solution may alleviate the need for a knee CT-scan for TKA preoperative planning, providing access to precision planning for a much wider patient population.
Source: RSIP Vision
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JV
Julie Vetalice is ORTHOWORLD's Editorial Assistant. She has covered the orthopedic industry for over 20 years, having joined the company in 1999.