Abstract: In an approach for classifying regions of tissue captured in multispectral videos into medically meaningful classes using GPU accelerated perfusion estimation, a processor receives one or more multispectral videos of a subject tissue of a patient. A processor extracts one or more fluorescence time series profiles from the one or more multispectral videos. A processor estimates one or more sets of perfusion parameters based on the one or more fluorescence time series profiles. A processor inputs one or more feature vectors into a classifier, wherein the one or more feature vectors are derived the one or more sets of perfusion parameters. A processor receives a classification result for each of the one or more feature vectors, wherein the classification result comprises a set of medically relevant labels for each of the one or more feature vectors with a level of certainty for each label of the set of medically relevant labels.

Abstract: A technique relates to coronary reconstruction. Angiogram data associated with cardiac catheterization of an artery for a subject is received, where a contrasting agent is used during the cardiac catheterization. Frames that match from the angiogram data are selected, the frames being from different views. Two-dimensional ordered point clouds for the frames are formed. A three-dimensional ordered point cloud of a reconstructed coronary artery for the subject from the two-dimensional ordered point clouds of the frames is formed. Observed contrast motion caused by the contrasting agent onto the reconstructed coronary artery is mapped, the reconstructed coronary artery thereby providing a three-dimensional model of the artery of the subject during the cardiac catheterization.

Abstract: In an approach for classifying regions of tissue captured in multispectral videos into medically meaningful classes using GPU accelerated perfusion estimation, a processor receives one or more multispectral videos of a subject tissue of a patient. A processor extracts one or more fluorescence time series profiles from the one or more multispectral videos. A processor estimates one or more sets of perfusion parameters based on the one or more fluorescence time series profiles. A processor inputs one or more feature vectors into a classifier, wherein the one or more feature vectors are derived the one or more sets of perfusion parameters. A processor receives a classification result for each of the one or more feature vectors, wherein the classification result comprises a set of medically relevant labels for each of the one or more feature vectors with a level of certainty for each label of the set of medically relevant labels.

Abstract: A method for imaging a coronary arterial system of an individual includes releasing, using an actuator, pulses of a radio-opaque dye into a coronary arterial tree of the individual. The method further includes obtaining, using an image capture device, a sequence of invasive coronary x-ray angiogram images over time of the pulses of the radio-opaque dye. The method also includes tracking, using a processor, the pulses through the sequence of invasive coronary x-ray angiogram images and locating the pulses on a three dimensional (3D) structural model of the coronary arterial system to generate a three dimensional (3D) functional model of the coronary arterial system that shows a trajectory of the dye as it flows through different arterial branches.

Abstract: A technique relates to coronary reconstruction. Angiogram data associated with cardiac catheterization of an artery for a subject is received, where a contrasting agent is used during the cardiac catheterization. Frames that match from the angiogram data are selected, the frames being from different views. Two-dimensional ordered point clouds for the frames are formed. A three-dimensional ordered point cloud of a reconstructed coronary artery for the subject from the two-dimensional ordered point clouds of the frames is formed. Observed contrast motion caused by the contrasting agent onto the reconstructed coronary artery is mapped, the reconstructed coronary artery thereby providing a three-dimensional model of the artery of the subject during the cardiac catheterization.

Abstract: A method for imaging a coronary arterial system of an individual includes releasing, using an actuator, pulses of a radio-opaque dye into a coronary arterial tree of the individual. The method further includes obtaining, using an image capture device, a sequence of invasive coronary x-ray angiogram images over time of the pulses of the radio-opaque dye. The method also includes tracking, using a processor, the pulses through the sequence of invasive coronary x-ray angiogram images and locating the pulses on a three dimensional (3D) structural model of the coronary arterial system to generate a three dimensional (3D) functional model of the coronary arterial system that shows a trajectory of the dye as it flows through different arterial branches.