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Abstract #0451

Enhanced non-invasive pressure drop and flow inefficiencies quantification via 4D-flow MRI

Joao Filipe Fernandes1, Alessandro Faraci1, Saul Myerson2, David Alexander Nordsletten1, and Pablo Lamata1

1School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom, 2Division of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford, United Kingdom

The pressure drop caused by convective effects is the standard clinic method for diagnosis of aortic stenosis using simplified Bernoulli. However simplified Bernoulli results in a reported overestimation that can be resolved with 4D-flow MRI and Simplified Advective Work-energy relative pressure (SAW). This work further refines SAW formulation and proposes an enhanced analysis of the positive and negative components of flow profile. Whereas forward SAW pressure drop correlates better with mean SB (R2=0.951) than full velocity profile by SAW (R2=0.901), backward SAW is totally independent of SB (R2=0.490), which makes the flow efficiency a potential predictive value for disease progression.

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