Quantitative imaging for fractional flow reserve (FFR)

A method for computer aided detection of fractional flow reserve for a pathology using an enriched radiological dataset, the method comprising:

• receiving a radiological dataset for a patient, wherein the radiological dataset is obtained non-invasively;
• enriching the dataset by performing analyte measurement and/or classification of one or more of (i) anatomic structure, (ii) shape or geometry or (iii) tissue characteristic, type or character with objective validation for a set of analytes relevant to a pathology, wherein the analyte measurement and/or classification of anatomic structure, shape, or geometry and/or tissue characteristic, type, or character includes semantic segmentation to identify and classify regions of interest in the radiological dataset, wherein the regions of interest are identified with respect to cross-sections of a tubular structure in the radiological dataset;
• and
• using a machine learned classification approach based on known ground truths to process the enriched dataset and determine a fractional flow reserve for the pathology.