Integration of the computational fluid dynamics technique with MRI in aortic dissections

Christof Karmonik, Sasan Partovi, Mark G. Davies, Jean Bismuth, Dipan J. Shah, Deniz Bilecen, Daniel Staub, George P. Noon, Matthias Loebe, Georg Bongartz, Alan B. Lumsden

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Short-term and long-term prognosis and their determining factors of Type III/Stanford B aortic dissections (TB-AD), which separate the aorta distal at the origin of the subclavian artery into a true lumen and false lumen, have been elusive: One quarter of patients thought to be treated successfully, either by medical or by surgical means, do not survive 3 years. Unfavorable hemodynamic conditions are believed to lead to false lumen pressure increases and complications. A better characterization of TB-AD hemodynamics may therefore impact therapeutic decision making and improve outcome. The large variations in TB-AD morphology and hemodynamics favor a patient-specific approach. Magnetic resonance imaging with its capability to provide high-resolution structural images of the lumen and aortic wall and also to quantify aortic flow and kinetics of an exogenous tracer is a promising clinical modality for developing a deeper understanding of TB-AD hemodynamics in an individual patient. With the information obtained with magnetic resonance imaging, computational fluid dynamics simulations can be performed to augment the image information. Here, an overview of the interplay of magnetic resonance imaging and computational fluid dynamics techniques is given illustrating the synergy of these two approaches toward a comprehensive morphological and hemodynamic characterization of TB-AD.

Original languageEnglish (US)
Pages (from-to)1438-1442
Number of pages5
JournalMagnetic Resonance in Medicine
Volume69
Issue number5
DOIs
StatePublished - May 2013
Externally publishedYes

Fingerprint

Hydrodynamics
Dissection
Hemodynamics
Magnetic Resonance Imaging
Subclavian Artery
Aorta
Decision Making
Pressure

Keywords

  • 3D time-resolved magnetic resonance angiography
  • 4D phase contrast magnetic resonance angiography
  • aortic dissections
  • computational fluid dynamics

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Karmonik, C., Partovi, S., Davies, M. G., Bismuth, J., Shah, D. J., Bilecen, D., ... Lumsden, A. B. (2013). Integration of the computational fluid dynamics technique with MRI in aortic dissections. Magnetic Resonance in Medicine, 69(5), 1438-1442. https://doi.org/10.1002/mrm.24376

Integration of the computational fluid dynamics technique with MRI in aortic dissections. / Karmonik, Christof; Partovi, Sasan; Davies, Mark G.; Bismuth, Jean; Shah, Dipan J.; Bilecen, Deniz; Staub, Daniel; Noon, George P.; Loebe, Matthias; Bongartz, Georg; Lumsden, Alan B.

In: Magnetic Resonance in Medicine, Vol. 69, No. 5, 05.2013, p. 1438-1442.

Research output: Contribution to journalArticle

Karmonik, C, Partovi, S, Davies, MG, Bismuth, J, Shah, DJ, Bilecen, D, Staub, D, Noon, GP, Loebe, M, Bongartz, G & Lumsden, AB 2013, 'Integration of the computational fluid dynamics technique with MRI in aortic dissections', Magnetic Resonance in Medicine, vol. 69, no. 5, pp. 1438-1442. https://doi.org/10.1002/mrm.24376
Karmonik C, Partovi S, Davies MG, Bismuth J, Shah DJ, Bilecen D et al. Integration of the computational fluid dynamics technique with MRI in aortic dissections. Magnetic Resonance in Medicine. 2013 May;69(5):1438-1442. https://doi.org/10.1002/mrm.24376
Karmonik, Christof ; Partovi, Sasan ; Davies, Mark G. ; Bismuth, Jean ; Shah, Dipan J. ; Bilecen, Deniz ; Staub, Daniel ; Noon, George P. ; Loebe, Matthias ; Bongartz, Georg ; Lumsden, Alan B. / Integration of the computational fluid dynamics technique with MRI in aortic dissections. In: Magnetic Resonance in Medicine. 2013 ; Vol. 69, No. 5. pp. 1438-1442.
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