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An unmet need in cardiac MRI is evaluation of diastolic dysfunction, which by echo requires measurement of LA volumes, E/e' and tricuspid regurgitant flow velocity. Of these parameters, tricuspid regurgitant flow (indicating right heart pressure) is not yet feasible. 4D flow has been investigated, but scan times are long, and trade-offs are needed. 2D flow cannot map TV regurgitant velocities due to the valvular motion. Recently, we adapted 2D valve-following PC that follows the displacement of the mitral valve throughout the heartbeat, to use modern feature tracking. Here we present a pilot study in tricuspid 2D flow using a valve-following slice, which we call 2.5D flow, due to its partial third dimension. The valve-following is now automated using deep-learning networks for tracking the valves.


Conference paper


Society for Magnetic Resonance Angiography

Publication Date