Tag: Orthopedic surgery

Announcement – XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution

The study, featured in the prestigious Journal of Clinical Medicine, found sub-millimeter accuracy on real-world patient imaging, enabling widespread access to precise, image-based computer-assisted surgery

Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

A tool for reconstruction of a 3D model of the knee from 2D X-ray images is being evaluated on clinical data at a leading medical

Announcement – Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan

RSIP Vision Presents New Tool for Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan Advanced artificial intelligence creates accurate and radiation-free method for TSA planning.

Announcement – Registration Module for Orthopedic Surgery

RSIP Vision Announces Patient-Specific, Intraoperative Registration Module for Orthopedic Surgery The new neural network technology enables accurate, quantitative measurements of bones and implants during the

Announcement – Automated Assessment of Cartilage Damage

RSIP Vision Announces New Tool for Sports Medicine Applications, Enabling Automated Assessment of Cartilage Damage This new algorithmic software provides automated measurement of articular cartilage

AI for Navigation in Robotic Assisted Surgeries

Every Robotic Assisted Surgeries (RAS) requires some level of navigation. While in open surgery the target is viewed directly, minimally invasive RAS views come from

Announcement – RSIP Vision Launches a New Knee Segmentation and Landmark Detection from X-ray Module

Breakthrough AI technology leads to precise surgery and optimal implant positioning, resulting in improved quality of life for the patients. SILICON VALLEY, CA, September 15,

Announcement – RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images

RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images. New technology creates a rich 3D modelling of each knee bone

Segmentation in Orthopedics with Deep Learning

Segmentation is highly important both for examination and planning of knee replacement, hip replacement, shoulder surgery, lesion detection, osteotomy and many other orthopedic procedures. Deep Learning is repeatedly being proven to be the most powerful framework for various tasks, and segmentation in orthopedics is no exception. RSIP Vision’s CTO Ilya Kovler explains how to improve the segmentation in orthopedics thanks to AI and deep learning.

Announcement – RSIP Vision Launches a Breakthrough AI-Based Shoulder Replacement Solution

RSIP Vision Launches a Breakthrough AI-Based Shoulder Replacement Solution, Dramatically Improving Clinical Outcome and Shortening Recovery Time. New Technology integrated in medical vendors’ platforms, allows

Announcement – RSIP Vision Launches AI-Based, 3D Total Hip Replacement Solution

SILICON VALLEY, Calif., Dec 17, 2019 — RSIP Vision, an Israeli global provider of artificial intelligence (AI), computer vision, and image processing technology, announced today a

Computer-Assisted Joint Replacement (hip and knee)

Pathologies in the joint regions are common especially among elderly patients. They are caused, in many cases, by wear and tear of the cartilage layer

Robots in Medical Applications

Machine Vision and AI for orthopedic surgery are extensively used in solutions enabling robotic surgical procedures and other medical applications. The robot’s hand being more precise than the surgeon, more and more surgeries are performed by properly equipped surgical robots. Besides the details of medical robotics applications, this article discusses also other medical systems, in particular Virtual Reality in medicine, by which RSIP Vision makes it possible to develop a simulator for complex and risky surgeries like brain surgeries.

Validation of accuracy in navigation systems

System validation of accuracy is an offline procedure performed periodically to confirm that the tracking system is accurate. In some cases, validation of accuracy can

Navigation Systems in Orthopedic Surgery

The navigation system is one of the most powerful tools for the surgeon in orthopedic surgery. The visualization system aids the surgeon to place his

Registration of CT and X-ray

Registration is a phase of orthopedic surgeries in which a visualization system is called to support the surgeon. This system provides real time view of

CT Segmentation in orthopedic surgery

CT image segmentation is a typical phase of orthopedic surgeries in which a visualization system is called to visually support the surgeon’s task. This system

Calibration of X-ray images

This series of 5 articles by RSIP Vision about orthopedic navigation during surgery displays the state-of-the-art image processing techniques offering the surgeon a highly accurate and effective real time in-op view of the surgery environment. This procedure can be divided in several tasks: camera calibration of input images; segmentation during orthopedic surgeries; registration of CT and X-Ray; orientation and navigation during surgery; validation of accuracy in navigation systems. The outcome is a breakthrough advancement in orthopedic surgery performance, corroborated by rich academic literature supporting the method and by widespread use in the operation room.

Ultrasound Imaging of Speckled Cartilage Tissue

Density Measurement of Damaged Cartilage

Interpretation of ultrasound images of cartilage is challenging since they display no obvious borders in the transition between tissues: the boundary between tissues can morph in both density and texture. Our software can process these problematic ultrasound images and automatically measure the density of cartilage in the knee. The main benefits of this procedure are its non-invasive nature and the efficient and accurate measurement of the cartilage it provides.

Anatomical surface reconstruction with sparse set of points

Advance navigation techniques in orthopedic surgery allow to construct 3D models of patients’ anatomical parts by matching a surface to an acquired set of data points. As an alternative to costly imaging procedures, ultrasound or fluoroscopic scan can be performed with much reduced costs and hazards. A set of surface points marked by the technician or physician forms then an initial sparse set for anatomical surface reconstruction. Here we show how RSIP Vision’s engineers overcome the challenge of using a sparse set of points to accurately reconstruct a complex 3d surface.

3D Reconstruction for Bone Alignment

Advances in vision-based medical imaging have completely transformed orthopedic surgery planning and operation procedures. A practical example is a high-impact femur fracture, resulting in a noticeable separation into two segments of the femur. Surgery in such cases requires initial alignment of the proximal and distal parts of the broken bone, followed by insertion and securing of a nail. In RSIP Vision’s solution, image features are matched to a pre-designed flexible geometrical model of the bone.

Point and surface registration in orthopedics

Point and surface registration enable computer vision and image processing to improve surgical orthopedy practices and affect surgery outcome recovery. Bringing point and surface registration in the field of orthopedics, computer vision and image processing hold the potential to improve surgical practices and affect surgery outcome to favor the benefit of patients and fast recovery. Measurement accuracy (within less than 1 mm) is a strict constraint to computer-vision-based algorithms.

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Tag: Orthopedic surgery

Announcement – XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution

Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

Announcement – Total Shoulder Arthroplasty (TSA) Planning Through MRI Scan

Announcement – Registration Module for Orthopedic Surgery

Announcement – Automated Assessment of Cartilage Damage

AI for Navigation in Robotic Assisted Surgeries

Announcement – RSIP Vision Launches a New Knee Segmentation and Landmark Detection from X-ray Module

Announcement – RSIP Vision Announces Breakthrough AI technology for 3D Reconstruction of Knees from X-ray Images

Segmentation in Orthopedics with Deep Learning

Announcement – RSIP Vision Launches a Breakthrough AI-Based Shoulder Replacement Solution

Announcement – RSIP Vision Launches AI-Based, 3D Total Hip Replacement Solution

Computer-Assisted Joint Replacement (hip and knee)

Robots in Medical Applications

Validation of accuracy in navigation systems

Navigation Systems in Orthopedic Surgery

Registration of CT and X-ray

CT Segmentation in orthopedic surgery

Calibration of X-ray images

Density Measurement of Damaged Cartilage

Anatomical surface reconstruction with sparse set of points

3D Reconstruction for Bone Alignment

Point and surface registration in orthopedics

Get in touch

Recent News

Announcement – XPlan.ai Confirms Premier Precision in Peer-Reviewed Clinical Study of its 2D-to-3D Knee Reconstruction Solution

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Announcement – XPlan.ai by RSIP Vision Presents Successful Preliminary Results from Clinical Study of it’s XPlan 2D-to-3D Knee Bones Reconstruction

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