Abstract: A system and method for analysis of a vessel automatically detects a pathology in a first image of the vessel and attaches a virtual mark to the pathology in the first image. The system may detect the same pathology in a second image of the vessel, based on the virtual mark, and may then provide analysis (e.g., determine an FFR value) of the pathology based on the pathology detected in the first and second images.

Abstract: Embodiments of the invention provide a system and method for determining an FFR value for a pathology in a vessel. A value of a predetermined attribute is extracted from a location of the pathology in an image of the vessel and a temporal feature is calculated based on the value of the predetermined attribute. The temporal feature is input to an estimator and an FFR value for the pathology is obtained from an output of the estimator. A structural feature of the pathology may also be input to the estimator to obtain the FFR value based on the temporal feature and the structural feature.

Abstract: A system and method for analysis of a vessel automatically detects a pathology in a first image of the vessel and attaches a virtual mark to the pathology in the first image. The system may detect the same pathology in a second image of the vessel, based on the virtual mark, and may then provide analysis (e.g., determine an FFR value) of the pathology based on the pathology detected in the first and second images.

Abstract: A fully automated solution to vessel analysis based on image data including a system for analysis of a vessel that receives at least 2D images of a patient's vessels, the images obtained from two different angles during X-ray angiography, where the system uses color or grayscale features from a location of a stenosis in the images to provide an FFR value for the vessel.