胸主动脉瘤：四维流动磁共振成像与计算流体动力学模型 - Suppr

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超能文献

Thoracic aortic aneurysm: 4D flow MRI and computational fluid dynamics model.

作者信息

Callaghan F M, Karkouri J, Broadhouse K, Evin M, Fletcher D F, Grieve S M

机构信息

a Sydney Translational Imaging Laboratory , Sydney Medical School, University of Sydney , Sydney , Australia.

b Heart Research Institute , Sydney , Australia.

出版信息

Comput Methods Biomech Biomed Engin. 2015;18 Suppl 1:1894-5. doi: 10.1080/10255842.2015.1069559. Epub 2015 Aug 3.

DOI:10.1080/10255842.2015.1069559

PMID:26237171

Abstract

摘要

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Thoracic aortic aneurysm: 4D flow MRI and computational fluid dynamics model.

作者信息

Callaghan F M, Karkouri J, Broadhouse K, Evin M, Fletcher D F, Grieve S M

机构信息

a Sydney Translational Imaging Laboratory , Sydney Medical School, University of Sydney , Sydney , Australia.

b Heart Research Institute , Sydney , Australia.

出版信息

Comput Methods Biomech Biomed Engin. 2015;18 Suppl 1:1894-5. doi: 10.1080/10255842.2015.1069559. Epub 2015 Aug 3.

DOI:10.1080/10255842.2015.1069559

PMID:26237171

Abstract

摘要

相似文献

Thoracic aortic aneurysm: 4D flow MRI and computational fluid dynamics model.

Comput Methods Biomech Biomed Engin. 2015;18 Suppl 1:1894-5. doi: 10.1080/10255842.2015.1069559. Epub 2015 Aug 3.

3D MR flow analysis in realistic rapid-prototyping model systems of the thoracic aorta: comparison with in vivo data and computational fluid dynamics in identical vessel geometries.

Magn Reson Med. 2008 Mar;59(3):535-46. doi: 10.1002/mrm.21331.

Flow-sensitive four-dimensional magnetic resonance imaging: flow patterns in ascending aortic aneurysms.

Eur J Cardiothorac Surg. 2008 Jul;34(1):11-6. doi: 10.1016/j.ejcts.2008.03.047. Epub 2008 Jun 2.

Complex flow patterns in a real-size intracranial aneurysm phantom: phase contrast MRI compared with particle image velocimetry and computational fluid dynamics.

NMR Biomed. 2012 Jan;25(1):14-26. doi: 10.1002/nbm.1706. Epub 2011 Apr 8.

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

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

The influence of computational assumptions on analysing abdominal aortic aneurysm haemodynamics.

Proc Inst Mech Eng H. 2014 Aug;228(8):768-80. doi: 10.1177/0954411914546122. Epub 2014 Aug 1.

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

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

[Flow-sensitive in-vivo 4D MR imaging at 3T for the analysis of aortic hemodynamics and derived vessel wall parameters].

Rofo. 2007 May;179(5):463-72. doi: 10.1055/s-2007-962941.

Cerebral blood flow in a healthy Circle of Willis and two intracranial aneurysms: computational fluid dynamics versus four-dimensional phase-contrast magnetic resonance imaging.

J Biomech Eng. 2014 Apr;136(4). doi: 10.1115/1.4026108.

Clinical evaluation of aortic coarctation with 4D flow MR imaging.

J Magn Reson Imaging. 2010 Mar;31(3):711-8. doi: 10.1002/jmri.22083.

引用本文的文献

Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning.

Magn Reson Med. 2020 Oct;84(4):2204-2218. doi: 10.1002/mrm.28257. Epub 2020 Mar 13.

Wall Shear Stress Estimation of Thoracic Aortic Aneurysm Using Computational Fluid Dynamics.

Comput Math Methods Med. 2018 Jun 3;2018:7126532. doi: 10.1155/2018/7126532. eCollection 2018.

Heart blood flow simulation: a perspective review.

Biomed Eng Online. 2016 Aug 25;15(1):101. doi: 10.1186/s12938-016-0224-8.