Abstract: Described herein is a computer implemented method for dynamic angiographic imaging comprising: obtaining image data comprising a plurality of corresponding images capturing at least a portion of both an increase phase and a decline phase of a contrast agent in a blood vessel of interest; generating at least one time-enhancement curve of the contrast agent based on the image data; determining a blood flow characteristic in the blood vessel of interest based on the time-enhancement curve. Systems for implementing the method and computer readable media incorporating the method are also described.

Abstract: Described herein is blood flow imaging based on an area under a time-enhancement curve predicted by a computer learning model. Image data comprising a plurality of corresponding images capturing at least a portion of one or both an increase phase and a decline phase of a contrast agent in a cardiovasculature of interest is inputted to a machine learning model to predict an area under a time-enhancement curve of the contrast agent within the cardiovasculature of interest, the predicted area under the time-enhancement curve representing the total sum of contrast agent concentration time product within the cardiovasculature of interest.

Abstract: Described herein is blood flow imaging based on an area under a time-enhancement curve predicted by a computer learning model. Image data comprising a plurality of corresponding images capturing at least a portion of one or both an increase phase and a decline phase of a contrast agent in a cardiovasculature of interest is inputted to a machine learning model to predict an area under a time-enhancement curve of the contrast agent within the cardiovasculature of interest, the predicted area under the time-enhancement curve representing the total sum of contrast agent concentration time product within the cardiovasculature of interest.

Abstract: A computer implemented method for dynamic angiographic imaging including: obtaining image data comprising a plurality of corresponding images capturing at least a portion of both an increase phase and a decline phase of a contrast agent in a blood vessel of interest; generating at least one time-enhancement curve of the contrast agent based on the image data; determining a blood flow characteristic in the blood vessel of interest based on the time-enhancement curve. Systems for implementing the method and computer readable media incorporating the method are also described.

Abstract: A computer implemented method for blood flow imaging including: obtaining image data including a plurality of corresponding images capturing at least a portion of both an increase phase and a decline phase of a contrast agent in a cardiovasculature of interest; selecting a target voxel in the image data; generating a time-enhancement curve of the contrast agent based on the image data; selecting first and second time points from the time-enhancement curve; determining a rate of change of enhancement by subtraction of image data at the selected first and second time points; determining a blood flow characteristic of the target voxel based on the rate of change of enhancement. Systems and non-transitory computer-readable media for executing the method are also provided.

Abstract: A computer implemented method for dynamic angiographic imaging including: obtaining image data comprising a plurality of corresponding images capturing at least a portion of both an increase phase and a decline phase of a contrast agent in a blood vessel of interest; generating at least one time-enhancement curve of the contrast agent based on the image data; determining a blood flow characteristic in the blood vessel of interest based on the time-enhancement curve. Systems for implementing the method and computer readable media incorporating the method are also described.