Abstract #0902

Automated 4D flow-based blood vortex detection for estimation of mean pulmonary arterial pressure

Corina Kräuter^1,2, Ursula Reiter¹, Gabor Kovacs^3,4, Clemens Reiter¹, Marc Masana⁵, Horst Olschewski^3,4, Michael Fuchsjäger¹, Rudolf Stollberger², and Gert Reiter^1,6

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

Synopsis

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here