Abstract #0306

Novel Stochastic 4D Flow Signatures of time-resolved 3D left atrial flow-field alterations in atrial fibrillation

Thara Nallamothu^1,2, Amanda L. DiCarlo¹, Daniel C. Lee³, Daniel Kim¹, Rishi Arora³, Michael Markl^1,2, Phillip Greenland⁴, Rod Passman³, and Mohammed S.M. Elbaz¹

¹Radiology, Northwestern University, Chicago, IL, United States, ²Biomedical Engineering, Northwestern University, Chicago, IL, United States, ³Medicine (Cardiology), Northwestern University, Chicago, IL, United States, ⁴Preventative Medicine, Northwestern University, Chicago, IL, United States

4D Flow MRI studies have shown an association between atrial fibrillation (AF) with altered left atrial (LA) blood flow. Nevertheless, LA flow dynamics changes can be complex (vortex flow, jets, stagnations, etc.). Existing quantitative 4D flow metrics only characterize parts of the overall complex interacting LA flow dynamics. Here, we propose a novel stochastic 4D Flow signature technique to quantify the unique composition of normal and altered LA flow dynamics utilizing the entire 4D three-directional velocity-field from 4D Flow MRI. We demonstrate the excellent reproducibility and the feasibility of the technique in quantifying distinctly altered LA signatures in AF patients.

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