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Abstract #2275

Automated mitral valve vortex ring extraction from 4D flow MRI: impact of segmentation

Corina Kräuter1,2, Ursula Reiter1, Clemens Reiter1, Volha Nizhnikava1, Marc Masana3, Albrecht Schmidt4, Michael Fuchsjäger1, Rudolf Stollberger2, and Gert Reiter5
1Department of Radiology, Medical University of Graz, Graz, Austria, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain, 4Department of Internal Medicine, Medical University of Graz, Graz, Austria, 5Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria

Automated mitral valve vortex ring evolution analysis from magnetic resonance 4D flow data is feasible. However, time-consuming manual segmentation of the left ventricular blood pool represents a bottleneck. We simulated speed-up and variability of manual segmentation and analyzed the impact on vortex ring parameters. Automated mitral valve vortex ring extraction and analysis yielded robust results, even when applying the end-diastolic segmentation mask to all cardiac phases. Error analysis of vortex ring parameters showed that under-segmentation of the ventricular blood pool should be avoided. Speeding up segmentation by using only the end-diastolic mask enables clinical mitral valve vortex ring analysis studies.

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