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Items: 1 to 20 of 88

1.

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

Karmonik C, Partovi S, Davies MG, Bismuth J, Shah DJ, Bilecen D, Staub D, Noon GP, Loebe M, Bongartz G, Lumsden AB.

Magn Reson Med. 2013 May;69(5):1438-42. doi: 10.1002/mrm.24376. Epub 2012 Jun 14.

PMID:
22700326
2.

Correlation between hemodynamic parameters and intra-arterial septum motion in DeBakey Type III aortic dissections using 2D pcMRI and 4D MRA.

Karmonik C, Duran C, Davies MG, Shah DJ, Lumsden AB, Bismuth J.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:2809-12. doi: 10.1109/IEMBS.2011.6090777.

PMID:
22254925
3.

Predicting flow in aortic dissection: comparison of computational model with PC-MRI velocity measurements.

Cheng Z, Juli C, Wood NB, Gibbs RG, Xu XY.

Med Eng Phys. 2014 Sep;36(9):1176-84. doi: 10.1016/j.medengphy.2014.07.006. Epub 2014 Jul 26.

PMID:
25070022
4.

Impact of tear location on hemodynamics in a type B aortic dissection investigated with computational fluid dynamics.

Karmonik C, Bismuth J, Redel T, Anaya-Ayala JE, Davies MG, Shah DJ, Lumsden AB.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:3138-41. doi: 10.1109/IEMBS.2010.5627193.

PMID:
21096590
5.

Computational fluid dynamics as a tool for visualizing hemodynamic flow patterns.

Karmonik C, Bismuth J, Davies MG, Lumsden AB.

Methodist Debakey Cardiovasc J. 2009;5(3):26-33.

PMID:
20308961
6.

Computational study of haemodynamic effects of entry- and exit-tear coverage in a DeBakey type III aortic dissection: technical report.

Karmonik C, Bismuth J, Shah DJ, Davies MG, Purdy D, Lumsden AB.

Eur J Vasc Endovasc Surg. 2011 Aug;42(2):172-7. doi: 10.1016/j.ejvs.2011.04.008. Epub 2011 May 6.

7.

Computational fluid dynamics investigation of chronic aortic dissection hemodynamics versus normal aorta.

Karmonik C, Müller-Eschner M, Partovi S, Geisbüsch P, Ganten MK, Bismuth J, Davies MG, Böckler D, Loebe M, Lumsden AB, von Tengg-Kobligk H.

Vasc Endovascular Surg. 2013 Nov;47(8):625-31. doi: 10.1177/1538574413503561. Epub 2013 Sep 17.

PMID:
24048257
8.

Investigation of hemodynamics in the development of dissecting aneurysm within patient-specific dissecting aneurismal aortas using computational fluid dynamics (CFD) simulations.

Tse KM, Chiu P, Lee HP, Ho P.

J Biomech. 2011 Mar 15;44(5):827-36. doi: 10.1016/j.jbiomech.2010.12.014. Epub 2011 Jan 21.

PMID:
21256491
9.

A new imaging method for assessment of aortic dissection using four-dimensional phase contrast magnetic resonance imaging.

Clough RE, Waltham M, Giese D, Taylor PR, Schaeffter T.

J Vasc Surg. 2012 Apr;55(4):914-23. doi: 10.1016/j.jvs.2011.11.005. Epub 2012 Mar 2.

10.

Tridirectional phase-contrast magnetic resonance velocity mapping depicts severe hemodynamic alterations in a patient with aortic dissection type Stanford B.

Müller-Eschner M, Rengier F, Partovi S, Unterhinninghofen R, Böckler D, Ley S, von Tengg-Kobligk H.

J Vasc Surg. 2011 Aug;54(2):559-62. doi: 10.1016/j.jvs.2011.02.017. Epub 2011 Jun 12.

11.

Hemodynamic assessment of pre- and post-operative aortic coarctation from MRI.

Ralovich K, Itu L, Mihalef V, Sharma P, Ionasec R, Vitanovski D, Krawtschuk W, Everett A, Ringel R, Navab N, Comaniciu D.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):486-93.

PMID:
23286084
12.

MRI-based computational fluid dynamics for diagnosis and treatment prediction: clinical validation study in patients with coarctation of aorta.

Goubergrits L, Riesenkampff E, Yevtushenko P, Schaller J, Kertzscher U, Hennemuth A, Berger F, Schubert S, Kuehne T.

J Magn Reson Imaging. 2015 Apr;41(4):909-16. doi: 10.1002/jmri.24639. Epub 2014 Apr 11.

PMID:
24723299
13.

Flow-sensitive 4D MRI of the thoracic aorta: comparison of image quality, quantitative flow, and wall parameters at 1.5 T and 3 T.

Strecker C, Harloff A, Wallis W, Markl M.

J Magn Reson Imaging. 2012 Nov;36(5):1097-103. doi: 10.1002/jmri.23735. Epub 2012 Jun 28.

PMID:
22745007
14.

High-resolution three-dimensional aortic magnetic resonance angiography and quantitative vessel wall characterization of different atherosclerotic stages in a rabbit model.

Steen H, Lima JA, Chatterjee S, Kolmakova A, Gao F, Rodriguez ER, Stuber M.

Invest Radiol. 2007 Sep;42(9):614-21.

PMID:
17700276
15.

An in vitro phantom study on the influence of tear size and configuration on the hemodynamics of the lumina in chronic type B aortic dissections.

Rudenick PA, Bijnens BH, García-Dorado D, Evangelista A.

J Vasc Surg. 2013 Feb;57(2):464-474.e5. doi: 10.1016/j.jvs.2012.07.008. Epub 2012 Nov 7.

16.

A flow quantification method using fluid dynamics regularization and MR tagging.

Jiraraksopakun Y, McDougall MP, Wright SM, Ji JX.

IEEE Trans Biomed Eng. 2010 Jun;57(6):1437-45. doi: 10.1109/TBME.2009.2038229. Epub 2010 Feb 17.

PMID:
20172815
17.

Longitudinal computational fluid dynamics study of aneurysmal dilatation in a chronic DeBakey type III aortic dissection.

Karmonik C, Partovi S, Müller-Eschner M, Bismuth J, Davies MG, Shah DJ, Loebe M, Böckler D, Lumsden AB, von Tengg-Kobligk H.

J Vasc Surg. 2012 Jul;56(1):260-3.e1. doi: 10.1016/j.jvs.2012.02.064. Epub 2012 May 10.

18.

A computational fluid dynamics study pre- and post-stent graft placement in an acute type B aortic dissection.

Karmonik C, Bismuth J, Davies MG, Shah DJ, Younes HK, Lumsden AB.

Vasc Endovascular Surg. 2011 Feb;45(2):157-64. doi: 10.1177/1538574410389342. Epub 2010 Dec 13.

PMID:
21156714
19.
20.

Group-wise construction of reduced models for understanding and characterization of pulmonary blood flows from medical images.

Guibert R, McLeod K, Caiazzo A, Mansi T, Fernández MA, Sermesant M, Pennec X, Vignon-Clementel IE, Boudjemline Y, Gerbeau JF.

Med Image Anal. 2014 Jan;18(1):63-82. doi: 10.1016/j.media.2013.09.003. Epub 2013 Sep 29. Erratum in: Med Image Anal. 2014 Feb;18(2):433.

PMID:
24148257

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