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Abstract #0274

Validation of non-invasive pressure drop quantification in an in-vitro stenosis phantom and patient cohort using DL-enhanced 4D Flow MRI

Ali El Ahmar1, Susanne Schnell1,2, Sameer A. Ansari2,3, Ramez N. Abdalla2, Alireza Vali4, Maria Aristova3, Michael Markl2, Patrick Winter1,2, and David Marlevi5,6
1Department of Medical Physics, University of Greifswald, Greifswald, Germany, 2Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Department of Neurology and Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Qualcomm Technologies, Inc., San Diego, CA, United States, 5Department of Molecular Medicine and Surgery, Karolinska Institutet, Stokholm, Sweden, 6Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Blood Vessels, Flow

Motivation: Stenosis in major intracranial arteries is a key contributor to ischemic stroke, making precise, non-invasive trans-stenotic pressure assessment vital for determining stenosis severity.

Goal(s): To validate a super-resolution-enhanced 4D Flow MRI technique for accurately estimating pressure drops across intracranial stenoses in both experimental and clinical settings.

Approach: We applied a deep learning-based super-resolution tool, 4DFlowNet, to enhance 4D Flow MRI spatial resolution. Experimental validation in an in-vitro model and retrospective clinical cohort was performed using vWERP analysis.

Results: Super-resolution MRI showed enhanced accuracy in pressure drop estimates, aligning closely with reference data and demonstrating improved flow visualization, particularly in severe stenoses.

Impact: Deep learning-enhanced super-resolution 4D Flow MRI, coupled with physics-informed pressure estimation, enables precise, non-invasive quantification of pressure drops across intracranial stenoses, advancing clinical assessment of cerebrovascular disease and offering new insights into the hemodynamic impacts of arterial stenosis.

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Keywords