Medacta Group has been granted a patent for a computer-implemented method to ensure correct alignment of hip prostheses. The method involves comparing preoperative 3D pelvic bone models with post-implant 2D images, checking for correct superimposition, and detecting any post-implant positioning differences. GlobalData’s report on Medacta Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Medacta Group, Prosthetic cardiac valves was a key innovation area identified from patents. Medacta Group's grant share as of May 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Computer-implemented method for checking hip prosthesis alignment
A newly granted patent (Publication Number: US11980428B2) outlines a method and system for checking the correct alignment of a hip prosthesis using computer-assisted technology. The method involves acquiring a 3D model of a patient's pelvic bone preoperatively and detecting 2D images post-implantation. By superimposing these images and identifying reference points, the system can determine the accuracy of the prosthesis alignment. If the compliance value falls below a threshold, adjustments are made to ensure proper alignment, allowing for the detection of any post-implant changes in bone positioning.
Furthermore, the system includes a computer-assisted processing unit and detecting devices to facilitate the alignment assessment process. By utilizing software to identify reference elements and points, the system can generate signals indicative of compliance with alignment criteria. The method also allows for the detection of anteversion and inclination of the pelvic bone post-implantation compared to the preoperative phase. Overall, this patented technology offers a comprehensive approach to ensuring the correct alignment of hip prostheses, providing valuable data on post-implant changes and alignment accuracy for healthcare professionals.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
