Real time SLAM in Endoscopy Applications
Robotic surgery requires extreme precision due to its small scale and the vulnerable organs such procedures usually target. To be able to get this precision many devices use magnetic or radio based external sensors in order to calculate the endoscope location in the patient’s body. However,...
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Detection and Tracking of Tumors
RSIP Vision’s automated detection and tracking of tumors answers one of the most frequent needs in the pharma industry – assessment of patient response to a new drug. This very strong tool saves precious time in the clinical stage when the automated detection and tracking can supply the most accu...
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Automated RECIST Measurement
RSIP Vision has develop an efficient tool for clinical trials in the pharma industry – the automated RECIST measurement. The gold standard in measuring the evolution of solid tumors, along the treatment with a tested drug, is the RECIST score (Response Evaluation Criteria in Solid Tumors), ...
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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 to guide catheter near the target site of the procedure. When vessel diameter becomes too small to insert an endos...
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Intrusion Detection with Deep Learning
Detecting physical and virtual intrusions is a key process in ensuring information and property security. Physical intrusion detection refers to all attempts at break-ins to a building, warehouse, or other perimeters by an unauthorized person, where access is granted to only limited personnel. Ba...
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GAN for non-rigid object tracking
Object identification and tracking remains a challenging task in computer vision, despite advances in hardware, computational, and algorithmic developments. Difficulties arise, in part, due to the non-rigid nature of objects’ motion, where continuous shape morphing during motion is observed. This...
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Object Tracking at High fps
Object tracking in video sequences is a classical challenge in computer vision, which finds applications in nearly all domains of the industry: from assembly line automation, security, traffic control, automatic driving assistance systems and agriculture. Presently state of the art algorithms per...
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Temporal point process sampling in video
Object identification and tracking in a sequence of frames (video) consists of sampling of the scene, by e.g raster or uniform scatter, to extract features and compute their descriptors for target objects identification. This raster scanning procedure can by resource intensive, especially if ever...
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Video tracking of animal behavior
Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands of years of animal farming have enabled us to interpret a subset of animal behavior; yet, a large spectrum still remai...
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Cardiovascular Ultrasound Software
Heart failure is the leading cause of mortality in the western world. Routine examination in clinics can greatly reduce the risk of heart failure by recognizing early symptoms, correcting classification and assigning appropriate treatment. Monitoring the heart during a clinic visit can shed light...
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Three-dimensional reconstruction of a deformable object
Reconstruction of the three-dimensional surface of an object based on single view 2-D sequence of images is a highly challenging task. Challenges stem in part from the construction of a template representing the object, or more formally, incorporating knowledge to restrict the shape space. The po...
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Object tracking in videos
Object tracking in videos is a classical computer vision problem. It consists of not only detecting the object in a scene but also recognizing the object in each and every frame, so as to distinguish it from other objects, both static and dynamic. Many tracking algorithms have been proposed in th...
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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 be performed as an ASTM (American Society for Testing and Materials) testing procedure. The testing involves a standard jig assem...
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Navigation System in Orthopedic Surgery
The navigation system is one of the most powerful tools for the surgeon in the new orthopedic surgery procedures. The visualization system aids the surgeon to place his or her tools without excessive exposure to X-ray radiations. The objectives of the Navigation System Present 2D and 3D views of ...
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Retinal images enhancement
Image enhancement of retinal structures has the potential to facilitate diagnosis of several eye diseases. Retinal disease diagnosis and monitoring often requires very delicate analysis that can be only accomplished with appropriate resources, which include Fundus camera or OCT device with high r...
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People counting with infrared camera
The FLIR Lepton is a low-resolution LongWave InfraRed (LWIR) camera. The purpose of this article is to explain the main challenges presented by the use of this IR camera in a typical image processing task like automated people counting. Other imaging tasks may present similar or different challen...
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Deformable pattern matching and classification
Three sources of apparent object deformation can occur: a change in the shape of the object itself, partial or full occlusion by dynamically changing background (other moving object or imaging conditions), or camera motion. Deforming objects are in general hard to track, owing to their unpredicta...
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Cataract surgery software
A cataract is a blurring of the eye’s natural lens. This lens lies behind the iris and the pupil of the patient’s eye. Cataract surgery is the procedure by which the cloudy lens is removed and replaced with a new IOL (intraocular lens). This new lens is an artificial medical device, which i...
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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 clinical. Traditionally, a virtual 3D model is placed in a scene acquired by camera based on several landmark points appe...
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Segmentation and tracking of kidney stones
An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by selective use of focused beams offers higher patients benefit than non-selective therapy since they spare the healthy t...
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