Computer Vision in Cardiology

RSIP Vision’s advanced algorithms and image processing software are used by physicians and researchers to develop and perform preventive and interventional cardiovascular procedures. Our software provides information about the patient’s cardiovascular system in a non-invasive manner, helps physicians ensure accuracy during complex operations, raises the level of patient safety through limiting his/her exposure to radiation, and aids diagnosis. We come to the office to write algorithms that save lives. In this section about computer vision in cardiology you can discover some of the ways we do it.

Segmentation in Coronary CT Angiography

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. Read more...

Exact Measurement during Angiography

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. Read more...

Cardiovascular Ultrasound Software

The software created by RSIP Vision uses segmentation algorithms that isolate heart walls in a noisy ultrasound image. The combination of RSIP’s image processing software with cardiovascular ultrasound provides detailed noninvasive heart monitoring system, transforming a noisy image into a clear view of the heart ventricles, enabling the medical professional to witness heart function and activities. Read more...

Quantitative Coronary Analysis

The main contribution of Quantitative Coronary Analysis (QCA) consists in measuring the diameter of arteries. Angiograms provide coronary images of region suspected of lesions using which our advanced algorithms for vessel detection and segmentation measure the segmented artery’s diameter. Abnormal values (as compared to a constructed reference diameter) are suspected as stenosis. Our system extracts and displays relevant values to the view of medical professionals and their patients. Read more...

3D Reconstruction of the Heart

Using minimal 2D images from a routine angiography, RSIP Vision’s algorithm tracks the veins and constructs a route map of the arteries, from two different angles. Our sophisticated algorithms applied to computer vision in cardiology reconstruct 3D models of the heart artery tree from 2D images, allowing for improved diagnostic capabilities, lower risk to both patients and physicians, more effective therapy and reduced costs. Read more...

Left Ventricle Segmentation

Cardiac MRI is used to assess the status of patients suffering from heart diseases like cardiac masses and thrombi, aortic and/or different kinds of congenital cardiac diseases. Cardiac MRI is minimally invasive, does not involve radiation and it generally delivers excellent images for diagnostics. However, automatic segmentation of the left ventricle on MRI images faces challenging difficulties, like locating the left ventricle and overcoming the lack of edge information. We propose a method providing a very robust input for daily clinical application. Read more...

Left Ventricle Statistical Shape Modelling

Statistical shape modelling is a powerful tool for visualizing geometric and functional patterns of variation in all organs and also a reliable left ventricle shape model can prove itself very useful, though quite challenging to construct. RSIP Vision knows how to do this and many other image processing solutions for cardiology. And since cardiovascular diseases account for million of deaths per year in the developed world, this work is of vital importance. Read more...

Other Projects in Image Processing for Cardiology

Cardiology is one of the many medical fields we write algorithms about. Our image processing skills in Heart Care are the result of numerous projects performed and our deep understanding of how our software can contribute to the medical profession. If you want to perfect your cardiology solutions and make them succeed in the international markets, consult us now. Here you can read about our other projects in image processing for cardiology:

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