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
Tag: Catheters
Brain Ventricles Segmentation with Deep Learning
Early diagnosis and treatment of ventricular system pathologies is crucial. Brain CT has become a leading diagnostic tool due to its high availability and quick image generation, which is useful in emergency room settings such as stroke or traumatic brain injury (TBI). Backed by cutting edge deep neural network and advanced Artificial Intelligence techniques, CT imaging can perform a very accurate brain ventricles segmentation and supply the physicians with crucial information regarding presence of hemorrhage, ischemia, tumors, hydrocephalus, and other pathologies.
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Sinus Segmentation with Deep Learning
The paranasal sinuses are air-filled spaces surrounding the nasal cavity. The sinuses include the maxillary, frontal, ethmoidal and sphenoidal sinuses. Due to being air filled, the sinuses make
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
Magnetic Resonance Imaging software
Magnetic resonance imaging is a ubiquitous clinical imaging modality, in which patients are placed in a device inducing a magnetic field, and the relaxation of
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
Coronary CT Angiography with Deep Learning
The production of 3D CT images of the heart requires a fast image processing technology, applied simultaneously on multiple scanned layers. To automatically separate the different components of the image, our software locates in the images the muscular layer (myocardium) of the heart needed for the rest of the segmentation in coronary CT angiography. Minimum graph cuts is the technique which provides the clearest tracking and the strongest segmentation results.
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Automatic Catheter Orientation Measurement
Catheters are inserted with measurement equipment at their tips, in order to scan their immediate surroundings. While orientation of the catheter’s tip is unknown throughout insertion, RSIP Vision has employed advanced algorithmic techniques to provide an exact measurement of catheter orientation during angiography, enabling the physician to ascertain the orientation of the catheter’s tip from x-ray images.
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