Abstract: A method of quantifying plaques imaged by cardiac computed tomography angiography (“CCTA”) scan data. Calcified and non-calcified component thresholds are determined based at least in part on attenuation values of a pool of blood in the CCTA scan data. An epicardial fat threshold is determined and used to classify epicardial fat in the CCTA scan data. A portion of CCTA scan data positioned between a detected outer boundary of the coronary artery and a portion classified as lumen is classified as arterial wall. NCP and CP seeds are identified in the arterial wall portion. Portions of the CCTA scan data continuous with a NCP seed and having attenuation values greater than an artery wall value and less than the NCP threshold are classified as NCP, and portions of the CCTA scan data continuous with the CP seed and having attenuation values greater than the CP threshold are classified as CP.

Abstract: A method of quantifying plaques imaged by cardiac computed tomography angiography (“CCTA”) scan data. Calcified and non-calcified component thresholds are determined based at least in part on attenuation values of a pool of blood in the CCTA scan data. An epicardial fat threshold is determined and used to classify epicardial fat in the CCTA scan data. A portion of CCTA scan data positioned between a detected outer boundary of the coronary artery and a portion classified as lumen is classified as arterial wall. NCP and CP seeds are identified in the arterial wall portion. Portions of the CCTA scan data continuous with a NCP seed and having attenuation values greater than an artery wall value and less than the NCP threshold are classified as NCP, and portions of the CCTA scan data continuous with the CP seed and having attenuation values greater than the CP threshold are classified as CP.

Abstract: A method of identifying perfusion abnormalities in a heart of a patient. The method is performed with a patient stress map including stress values, a patient rest map including rest values, and one or more normal maps. The normal maps may include a normal change limit map including change limits, and a normal stress limit map including stress limits. The stress and rest maps are co-registered with one another and the normal maps. The method includes creating a patient change map by subtracting the rest count values of the rest map from the stress count values of the co-registered stress map. Then, in some embodiments, the patient stress and change maps are jointly compared to the normal stress and change limit maps to detect one or more hypoperfused regions. In such embodiments, the one or more regions detected are identified as having perfusion abnormalities and optionally displayed.