Automated 4D flow-based blood vortex detection for estimation of mean pulmonary arterial pressure
Corina Kräuter1,2, Ursula Reiter1, Gabor Kovacs3,4, Clemens Reiter1, Marc Masana5, Horst Olschewski3,4, Michael Fuchsjäger1, Rudolf Stollberger2, and Gert Reiter1,6
1Department of Radiology, Medical University of Graz, Graz, Austria, 2Institute of Medical Engineering, Graz University of Technology, Graz, Austria, 3Department of Internal Medicine, Medical University of Graz, Graz, Austria, 4Ludwig Boltzmann Institute for Lung Vascular Research Graz, Graz, Austria, 5Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 6Research and Development, Siemens Healthcare Diagnostics GmbH, Graz, Austria
Pulmonary hypertension is characterized by elevated mean pulmonary arterial pressure. Visual vortex analysis revealed a strong relation between elevated mean pulmonary arterial pressure and the duration of vortical blood flow along the pulmonary artery, however, automated pulmonary hypertension-related vortex detection methods are lacking. We propose a method for automated detection and tracking of the pulmonary hypertension-related vortex from 4D flow data and aim to compare it with visual analysis and to validate automatically estimated mean pulmonary arterial pressure against invasively measured results. The automated method agreed very well with visual vortex detection and accurately estimated elevated mean pulmonary arterial pressure.
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