Abstract #0090

5D flow MRI: A free-running, fully self-gated, radial imaging framework for cardiac and respiratory motion-resolved assessment of 3D blood flow dynamics

Liliana Ma^1,2, Jérôme Yerly³, Christopher W Roy³, Davide Piccini^3,4, Lorenzo Di Sopra³, James Carr¹, Matthias Stuber³, and Michael Markl^1,2

¹Radiology, Northwestern University, Chicago, IL, United States, ²Biomedical Engineering, Northwestern University, Evanston, IL, United States, ³Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, ⁴Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland

Recent advances have enabled fully self-gated high resolution imaging using a Free-running framework, where data is continuously collected, retrospectively binned into cardiac and respiratory phases, and reconstructed using multi-dimensional compressed sensing (CS) for efficient functional and anatomical imaging of the heart. Here, we propose a novel expansion of this framework to cardiac and respiratory motion-resolved 3D flow imaging— or 5D flow MRI. The findings of this study show that 5D flow MRI is feasible in-vitro and in-vivo and can depict cardiac and respiratory-resolved 3D hemodynamics.

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