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Abstract #1653

Automatic velocity encoding (VENC) calibration for accurate quantitative flow measurement

Pierre Daude1, Rajiv Ramasawmy1, Ahsan Javed1, Dominique N Franson2, Kelvin Chow3, and Adrienne E Campbell-Washburn1
1Laboratory of Imaging Technology, National Heart, Lung & Blood Institute, Bethesda, MD, United States, 2Siemens Medical Solutions USA Inc., Malvern, PA, United States, 3Siemens Healthcare Ltd., Calgary, AB, Canada

Synopsis

Keywords: Flow, Flow, Velocity encoding

Motivation: The optimal velocity encoding limit (VENC) in phase contrast MRI is subject-specific and is currently manually set by the technologist in a time-consuming process.

Goal(s): We propose an inline automatic velocity encoding calibration for 2D phase-contrast flow MRI, which automatically computes and sets the optimal VENC.

Approach: We designed a calibration module to automatically estimate the optimal VENC inline and set it in the subsequent flow measurement. Sixteen healthy volunteers were imaged at 0.55T.

Results: Deployed inline, the calibration module calculated correctly the optimal VENC, mean of 97% of the maximum velocity in the ascending aorta, and automatically applied for subsequent flow sequence.

Impact: Inline automatic velocity encoding calibration ensures the optimal precision in flow measurements and simplifies the acquisition workflow.

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