DEEPVESSEL FFR is a coronary physiological simulation software for the clinical quantitative and qualitative analysis of previously acquired Computed Tomography DICOM data for clinically stable symptomatic patients with coronary artery disease. It provides DVFFR (a CT-derived FFR measurement) computed from static coronary CTA images using deep learning neural networks that encode imaging, structural, and functional characteristics of coronary arteries through learning.DEEPVESSEL FFR analysis is intended to support the functional evaluation of coronary artery disease. The results of the analysis are provided to support qualified clinicians to aid in the evaluation and assessment of coronary arteries. DEEPVESSEL FFR results are intended to be used by qualified clinicians in conjunction with the with the patient’s clinical history, symptoms, and other diagnostic tests, as well as the clinician’s professional judgment.
A stand-alone software application intended to aid assessment of vascular stenosis and/or endovascular interventions, by producing a three-dimensional (3-D) cardiovascular model which has features of predicted blood flow data and/or endovascular device deployments. It typically uses computed tomography (CT) images and may be intended as an alternative to invasive techniques (i.e., invasive blood pressure, invasive fractional flow reserve, angiography); it is not intended to store patient records. It is designed to be installed on an off-the-shelf computer/smart device.