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We present a novel numerical algorithm developed to reconstuct pulsatileblood flow from ECG-gated CT angiography data. A block-based optimizationmethod was constructed to solve the inverse problem corresponding to theRiccati-type ordinary differential equation that can be deduced fromconservation principles and Hooke's law. Local flow rate for 5 patients wascomputed in 10cm long aorta segments that are located 1cm below the heart. Thewave form of the local flow rate curves seems to be realistic. Our approach issuitable for estimating characteristics of pulsatile blood flow in aorta basedon ECG gated CT scan thereby contributing to more accurate description ofseveral cardiovascular lesions.

Numerical reconstruction of pulsatile blood flow from 4D computer tomography angiography data