Literature DB >> 18023667

Three-dimensional magnetic resonance flow analysis in a ventricular assist device.

Michael Markl1, Christoph Benk, Dominik Klausmann, Aurelien F Stalder, Alex Frydrychowicz, Jürgen Hennig, Friedhelm Beyersdorf.   

Abstract

OBJECTIVE: The assessment of flow characteristics inside ventricular assist devices by magnetic resonance imaging techniques may provide insight into the mechanisms underlying the high rate of thromboembolic events after implantation of a ventricular assist device. Furthermore, these investigations may form the basis to optimize the device's design and its need for anticoagulation. The purpose of this study was to integrate a clinical routine ventricular assist device into a flow circuit with realistic geometric and pulsatile inflow conditions. Combination with flow-sensitive magnetic resonance imaging at 3 T permitted the detailed analysis of local and global 3-dimensional flow dynamics in a realistic environment.
METHODS: A commercially available ventricular assist device was integrated into a magnetic resonance-compatible flow circuit. Flow-sensitive 3-dimensional magnetic resonance imaging was performed to measure time-resolved 3-directional flow velocities in the entire device. Advanced computer-aided 3-dimensional flow visualization methods were used to derive a comprehensive picture of flow dynamics within the ventricular assist device system.
RESULTS: On the basis of the ventricular assist device model system, magnetic resonance imaging, and flow visualization, the first 4-dimensional functional magnetic resonance imaging analysis of flow characteristics inside an operating clinical routine ventricular assist device chamber system is reported. Detailed visualization of flow patterns and local changes in flow characteristics were successfully performed and revealed locally accelerated, vortical, and helical flow regions inside the geometry of the device.
CONCLUSIONS: Complex flow patterns such as vortex formation and locally accelerated flow demonstrate the potential of the presented method to further deepen the understanding of complex and regionally different flow characteristics inside ventricular assist devices.

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Year:  2007        PMID: 18023667     DOI: 10.1016/j.jtcvs.2007.05.024

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  5 in total

Review 1.  The use of computational fluid dynamics in the development of ventricular assist devices.

Authors:  Katharine H Fraser; M Ertan Taskin; Bartley P Griffith; Zhongjun J Wu
Journal:  Med Eng Phys       Date:  2010-11-13       Impact factor: 2.242

2.  Velocity quantification by electrocardiography-gated phase contrast magnetic resonance imaging in patients with cardiac arrhythmia: a simulation study based on real time transesophageal echocardiography data in atrial fibrillation.

Authors:  Michael Markl; Jacob Fluckiger; Daniel C Lee; Jason Ng; Jeffrey J Goldberger
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

3.  Acquired von Willebrand syndrome in patients with extracorporeal life support (ECLS).

Authors:  Claudia Heilmann; Ulrich Geisen; Friedhelm Beyersdorf; Lea Nakamura; Christoph Benk; Georg Trummer; Michael Berchtold-Herz; Christian Schlensak; Barbara Zieger
Journal:  Intensive Care Med       Date:  2011-10-01       Impact factor: 17.440

4.  Test-retest variability of left ventricular 4D flow cardiovascular magnetic resonance measurements in healthy subjects.

Authors:  Victoria M Stoll; Margaret Loudon; Jonatan Eriksson; Malenka M Bissell; Petter Dyverfeldt; Tino Ebbers; Saul G Myerson; Stefan Neubauer; Carl- Johan Carlhäll; Aaron T Hess
Journal:  J Cardiovasc Magn Reson       Date:  2018-03-02       Impact factor: 5.364

5.  Reliability and Accuracy of Peri-Interventional Stenosis Grading in Peripheral Artery Disease Using Color-Coded Quantitative Fluoroscopy: A Phantom Study Comparing a Clinical and Scientific Postprocessing Software.

Authors:  Patrick Ghibes; Sasan Partovi; Gerd Grözinger; Petros Martirosian; Fritz Schick; Konstantin Nikolaou; Dominik Ketelsen; Roland Syha; Ulrich Grosse
Journal:  Biomed Res Int       Date:  2018-07-24       Impact factor: 3.411

  5 in total

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