Abstract #1073

Joint Velocity and Acceleration Encoding for Improved Pressure Gradient Mapping in Flow Imaging

Michael Loecher^1,2, Priya J Nair³, and Daniel B Ennis^1,2

¹Radiological Sciences Laboratory, Stanford University, Stanford, CA, United States, ²Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, ³Bioengineering, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Flow, Velocity & FlowIn this work, we introduce an optimized motion encoding strategy for flow measurements that simultaneously and non-colinearly encodes velocity and acceleration into data phase. This enables velocity-based flow measurements and improves pressure gradient mapping derived from the acceleration data. The method is tested in a stenotic flow phantom, where the proposed method shows good velocity agreement with conventional 4D-flow methods, while also producing improved pressure gradient maps when compared to both 4D-flow and a CFD reference.

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