US Patent 12131477 Computer learning assisted blood flow imaging

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. In an example, a computer implemented method for blood flow imaging comprising: obtaining 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; providing the image data to a machine learning model to predict an area under a time-enhancement curve of the contrast agent within the cardiovasculature of interest; determining a blood flow characteristic through the region of interest based on the area under the time-enhancement curve. Systems and non-transitory computer-readable media for executing the method are also described.