PR – RSIP Vision Announces New Cardiac Diagnostic Tool for Point-of-Care Ultrasound Screening
New algorithmic module provides automated expert-level assessment of heart function for point-of-care medical teams enabling a quick and reliable detection of cardiac illness and heart attacks. TEL AVIV, Israel & SAN JOSE, Calif., December 15, 2020 – RSIP Vision, an experienced leader i...
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Deep Learning for Cardiac Ultrasound (Echocardiography)
Cardiovascular disease at a glance Cardiovascular disease is a leading cause of death, disability and health care expenditure in the United States. Cardiovascular disease (CVD) accounted for 840,678 – or 1 out of 3 – deaths in the US in 2016 Nearly 30 million American adults are curre...
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AI in Cardiac MRI Segmentation
Cardiac magnetic resonance (CMR) imaging plays a critical role in the assessment and management of patients with coronary artery disease (CAD), a leading cause of death worldwide. However, postprocessing is time-consuming and prone to inter and intraobserver variability. Deep learning neural netw...
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AI in cardiac CT angiography
Coronary computed tomography angiography (CCTA) is an efficient and non-invasive imaging modality with widespread clinical implementation in the identification of coronary artery disease (CAD). With rapid 3D visualization of coronary arteries and heart, including visualization of blood flow in ar...
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Coronary Arteries Segmentation
Coronary artery disease (CAD) or ischemic heart disease (IHD) has become one of the most common causes of morbidity and mortality worldwide. Patients who suffer from CAD, usually have accumulation of deposits such as lipids and inflammatory cells within the coronary arteries, potentially causing ...
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Great Vessels Segmentation with Deep Learning
The great vessels conduct blood to and from the heart. These vessels include the aorta, superior and inferior vena cava, pulmonary arteries and pulmonary veins. Since the great vessels are an integral part of systemic and pulmonary circulation, vascular pathologies involving said vessels might be...
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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 of network blocks in which each layer is densely connected with auxiliary side paths (skip connections) to all the following la...
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3D Cardiac MRI automatic segmentation
Massive progress in 3D Cardiac magnetic resonance imaging (MRI) gives today access to good 3D mapping of the heart, using gating to synchronize to the systolic phase of the pulse. MRI can give good distinction between the different tissues and blood without any hazard connected to radiation. 3D C...
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Three-dimensional reconstruction
Three-dimensional reconstruction of scene can be viewed as is the reproduction of a depth-map. Thus, as an input we have a sequence of images as input, which their output is distances of each point of the target object from a reference point. There are many ways to reconstruct an object. Starting...
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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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3D reconstruction of the heart
Cardiovascular disease is the leading cause of mortality worldwide, accounting for 30% of all deaths and about 17 million premature deaths annually. However, these figures are decreasing due to increased awareness, healthier lifestyle and cardiac examinations which can prevent deterioration and ...
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Coronary CT Angiography with Deep Learning
Coronary artery pathologies are a leading cause of heart failure and death in the western world. Narrowing and hardening of the vessels carrying oxygen-rich blood to the heart, due to the accumulation of plaque on the vascular walls, is a major source of atherosclerosis, a major cardiovascular di...
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Cardiac Left Ventricle Segmentation
Cardiac MRI is one of the technologies used for assessing the condition of patients which suffer or might suffer from a heart disease like cardiac masses and thrombi, pericardial abnormalities, cardiomyopathy, arrhythmia and coronary, aortic and/or different kinds of congenital cardiac diseases. ...
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Automatic Catheter Orientation Measurement
Measuring Catheter Orientation in MRI Lipid-rich coronary lesions have a high risk of rupture. Early detection and quantification of these using interventional coronary catheterization for high-risk patients is necessary to increase the chances of successful treatment and prevention. Durin...
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Quantitative Coronary Analysis
Quantitative Coronary Analysis Quantitative Coronary Analysis (QCA) refers to the set of methods used to measure the diameter of arteries. The set of tools and algorithms for QCA have been developed for the purpose of lesion and stenosis detection and analysis, and promote rational clinical decis...
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Right Atrium Measurement with Ultrasound
Right Atrium Measurement in Ultrasound Videos Atrial fibrillation is an irregular rhythmic beating of the heart associated with coronary heart disease, high blood pressure and blood clots. Detection and tracking of conditions leading to it is routinely done by observing the heart using non...
Read MoreCoronary CT Angiography
RSIP Vision created coronary CT angiography software which automatically tracks arteries, locating blockages without the need for cardiac catheterization.
Read MoreMagnetic Resonance Imaging Software: MRI without a MRI Scanner
RSIP Vision wrote Magnetic Resonance Imaging Software that enabled full MRI to be conducted without access to a MRI scanner.
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3D Reconstruction of the Heart
RSIP Vision builds accurate 3D reconstructions of the heart increasing efficiency of therapy and lowering patient risk.
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