The results show that this new technology is very effective for reconstructing 3D models of knee bones from two standard bi-planar X-ray views. The deep neural network model, together with synthetic data creation and effective training process, proves to be a powerful technique to create a rich 3D modelling of each bone with low-cost, widely available and low-radiation imaging modality.

"Knee replacement surgeries are common, among other joint surgeries. The most important factor for achieving high accuracy and success rates is preoperative planning, during which the orthopedic surgeon normally uses an expensive, time consuming, scarcely available modalities (CT, MRI…). To overcome this obstacle, RSIP Vision developed a new technology based solely on X-ray beams that is readily available, accurate, cheap and reproducible, which could be applied in poor peripheral as in rich central areas, while preserving the segmentation quality," says Dr. Rabeeh Fares, Radiologist; Department of Diagnostic Radiology, Sourasky Medical Center, Tel Aviv.

About RSIP Vision
RSIP Vision is a global leader in artificial intelligence and computer vision technology. The company draws on a depth of knowledge and experience to provide customized development services, of sophisticated algorithms and deep learning technology, to the Healthcare companies.

RSIP Vision develops practical AI modules that ensure precision, reduce time to market, cut costs, and free the core R&D team staff for other endeavors, saving significant time and money and giving businesses a real edge over the competition. From research to customized algorithms development utilizing its diverse inhouse team of: Algorithm experts, computer science engineers, mathematics, physics, biomedical engineers, internal medical annotation team and inhouse radiologists.

RSIP Vision is headquartered in Jerusalem, with U.S. offices in San Jose, CA, and Boston, MA.


SOURCE RSIP Vision

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