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Abstract #2723

Ultra-fast EPI sampling of pulsatile flow waveforms in cerebral arteries via retrospective binning of k-space lines

Joseph Whittaker1, Marcello Venzi1, Fabrizio Fasano2,3, Daniel Gallichan4, and Kevin Murphy1

1CUBRIC, School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Healthcare Ltd, Camberly, United Kingdom, 4CUBRIC, School of Engineering, Cardiff, United Kingdom

Flow related signal enhancement in ultra-fast EPI allows imaging of cardiac pulsatile blood flow profiles in cerebral arteries. We present a novel method that uses retrospective binning of k-space lines to make cardiac phase ‘composite’ k-space planes, from which pulsatile waveforms can be reconstructed with extremely high temporal resolution (~2ms). We demonstrate the proof-of-principle for obtaining pulse wave velocity measures in cerebral arteries, paving the way for mapping quantitative arterial stiffness measures across the brain.

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