Visualization Modalities for Surgery with AI
Our team has followed with deep attention the recent Hamlyn Symposium. In particular, we have enjoyed the great presentation by Professor Laura Marcu from UC
Tag: Registration
AI for Structural Heart Procedures
Structural heart diseases include structural deformation of the heart, like valve leakage: the blood flows in two directions and the patient is losing efficiency of
PCNL – Planning and real-time navigation
Urolithiasis, or kidney stones, is a common pathology affecting nearly 10% of the population in the USA. Percutaneous Nephrolithotomy (PCNL) is a minimally invasive urology
Image Analysis and AI in Diagnostic ERCP
Recent developments in the field of medical image analysis and artificial intelligence (AI) are used to improve the procedural outcomes of ERCP (Endoscopic retrograde cholangiopancreatography). Here is how RSIP Vision develops AI for diagnostic ERCP. Read what we do for enabling 3D Image Reconstruction and Image Registration/Fusion. Learn how strictures detection and classification can provide the physicians with classification scoring and, sometimes, help them avoid unnecessary biopsies during ERCP.
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Catheter Navigation System with RL
The typical catheter navigation system relies on fluoroscopy, which exposes patients to dangerous irradiation. To limit the dose throughout the operation, endoscopic cameras are used
RGB-D SLAM building 3D models from depth cameras
In the past few years, depth cameras became common and easy to get. Several product are available in the market at a reasonable price, e.g.
Deep Learning in Cardiology
1.1 Segmentation tasks [10] suggest a new fully convolutional network architecture for the task of cardiovascular MRI segmentation. The architecture is based on the idea
Deep Learning in Pulmonology
Deep learning has been successfully applied in various applications in pulmonary imaging, including CT registration, airway mapping, real time catheter navigation, and pulmonary nodule detection.
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.
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Robots using Machine Vision in Agriculture
Among the many tasks performed by robots in agriculture, a large part is activated by machine vision algorithms. A very partial list of these tasks would include fields plowing, seeds planting, weeds handling, monitoring of produce growth (be it via ground-based robots or by flying robotic UAVs), fruits and vegetables picking, as well as sorting and grading of produce. This article gives a panoramic view of what our algorithms for robotics can do for your project in agriculture, including robots using Deep Learning in agriculture.
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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
Geographic Atrophy Segmentation Using SD-OCT
In a previous article, we talked about Geographic Atrophy segmentation in 2D images. This article focuses on how OCT images shed light on the development
Multi-modal registration of retina images
Is it possible to perform combination of fundus images coming from different imaging equipment or technologies and taken from different angles? RSIP Vision apparently can, since we used our expertise in computer vision for ophthalmology to provide software to a client who wanted to combine direct images of the fundus with fluorescein images, which need to be reconstructed before being connected together to form a more detailed image. The end result provides ophthalmologists with detailed images of the retina, ensuring more efficient and accurate patient diagnosis.
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Object feature tracking in natural scenes
Augmented reality (AR), the superposition of virtual graphical models on screen, has been steadily progressing and finds its application in diverse domain from recreational to
Planning of screw insertion trajectory
Robotic assisted minimally invasive surgery has changed the face of surgery. The use of robotic aids in surgery can be traced back to the mid-1980s,
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.
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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.
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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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Chest CT Registration
Lung cancer is the leading cancer killer of men and women in the U.S. and it causes more deaths than colorectal, breast and prostate cancers
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