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Proceedings Paper

MRI-based hemodynamical analysis in patients with surgically treated aortic coarctations
Author(s): Michael Delles; Manuela Noe; Yoo-Jin Jeong; Sebastian Ley; Hendrik von Tengg-Kobligk; Hans-Ulrich Kauczor; Rüdiger Dillmann; Roland Unterhinninghofen
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Paper Abstract

In management of cardiovascular diseases, information about the patient-specific behavior of blood flow and pressure can be essential. In the human aorta, velocity-encoded magnetic resonance imaging (MRI) is the only method capable of measuring complete time-resolved three-dimensional vector fields of the blood flow velocities. Additionally, computations of relative blood pressure from this data source have been presented in recent years. Thus, velocityencoded MRI can be a valuable measurement technique for both blood flow and blood pressure values in diagnostics and therapy control of aortic diseases. In the last years, we have developed the software framework MEDIFRAME for cardiovascular diagnostics based on MRI acquisitions. In this article, we apply our in-house developed software framework for a MRI-based hemodynamic analysis in five patients with surgically treated aortic coarctations. We compared our results to a control group of five healthy volunteers. The study included the measurement of blood flow velocities by phase-contrast MRI and the subsequent computation of relative blood pressure values. We generated a set of suitable visualizations for flow and pressure and created centerline diagrams of the cross-sectional area, flow and mean relative blood pressure. Additionally, characteristic values were computed from the centerline diagrams for every subject. In the vast majority of the visualization and quantification techniques of our software framework, we observed significant effects of the treated aortic coarctations. Therefore, we draw the conclusion that this kind of MRI-based hemodynamic analysis can be a valuable tool for diagnostics and therapy control of aortic coarctations.

Paper Details

Date Published: 29 March 2013
PDF: 7 pages
Proc. SPIE 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging, 867209 (29 March 2013); doi: 10.1117/12.2006734
Show Author Affiliations
Michael Delles, Karlsruhe Institute of Technology (Germany)
Manuela Noe, Karlsruhe Institute of Technology (Germany)
Yoo-Jin Jeong, Karlsruhe Institute of Technology (Germany)
Sebastian Ley, Heidelberg Univ. Hospital (Germany)
Univ. of Toronto (Canada)
Hendrik von Tengg-Kobligk, Heidelberg Univ. Hospital (Germany)
German Cancer Research Ctr. (Germany)
Hans-Ulrich Kauczor, Heidelberg Univ. Hospital (Germany)
Rüdiger Dillmann, Karlsruhe Institute of Technology (Germany)
Roland Unterhinninghofen, Karlsruhe Institute of Technology (Germany)


Published in SPIE Proceedings Vol. 8672:
Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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