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Proceedings Paper

Non-invasive pulmonary blood flow analysis and blood pressure mapping derived from 4D flow MRI
Author(s): Michael Delles; Fabian Rengier; Yoo-Jin Azad; Sebastian Bodenstedt; Hendrik von Tengg-Kobligk; Sebastian Ley; Roland Unterhinninghofen; Hans-Ulrich Kauczor; Rüdiger Dillmann
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Paper Abstract

In diagnostics and therapy control of cardiovascular diseases, detailed knowledge about the patient-specific behavior of blood flow and pressure can be essential. The only method capable of measuring complete time-resolved three-dimensional vector fields of the blood flow velocities is velocity-encoded magnetic resonance imaging (MRI), often denoted as 4D flow MRI. Furthermore, relative pressure maps can be computed from this data source, as presented by different groups in recent years. Hence, analysis of blood flow and pressure using 4D flow MRI can be a valuable technique in management of cardiovascular diseases. In order to perform these tasks, all necessary steps in the corresponding process chain can be carried out in our in-house developed software framework MEDIFRAME. In this article, we apply MEDIFRAME for a study of hemodynamics in the pulmonary arteries of five healthy volunteers. The study included measuring vector fields of blood flow velocities by phase-contrast MRI and subsequently computing relative blood pressure maps. We visualized blood flow by streamline depictions and computed characteristic values for the left and the right pulmonary artery (LPA and RPA). In all volunteers, we observed a lower amount of blood flow in the LPA compared to the RPA. Furthermore, we visualized blood pressure maps using volume rendering and generated graphs of pressure differences between the LPA, the RPA and the main pulmonary artery. In most volunteers, blood pressure was increased near to the bifurcation and in the proximal LPA, leading to higher average pressure values in the LPA compared to the RPA.

Paper Details

Date Published: 17 March 2015
PDF: 6 pages
Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94172G (17 March 2015); doi: 10.1117/12.2082037
Show Author Affiliations
Michael Delles, Karlsruher Institut für Technologie (Germany)
Fabian Rengier, Deutsches Krebsforschungszentrum (Germany)
Univ. Hospital Heidelberg (Germany)
Yoo-Jin Azad, Karlsruher Institut für Technologie (Germany)
Sebastian Bodenstedt, Karlsruher Institut für Technologie (Germany)
Hendrik von Tengg-Kobligk, Deutsches Krebsforschungszentrum (Germany)
Univ. Hospital Heidelberg (Germany)
Inselspital Bern (Switzerland)
Sebastian Ley, Deutsches Krebsforschungszentrum (Germany)
Chirurgische Klinik Dr. Rinecker (Germany)
Roland Unterhinninghofen, Karlsruher Institut für Technologie (Germany)
Hans-Ulrich Kauczor, Univ. Hospital Heidelberg (Germany)
Rüdiger Dillmann, Karlsruher Institut für Technologie (Germany)

Published in SPIE Proceedings Vol. 9417:
Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Robert C. Molthen, Editor(s)

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