Haemodynamic imaging of thoracic stent-grafts by computational fluid dynamics (CFD): presentation of a patient-specific method combining magnetic resonance imaging and numerical simulations

2012 ◽  
Vol 22 (10) ◽  
pp. 2094-2102 ◽  
Author(s):  
Marco Midulla ◽  
Ramiro Moreno ◽  
Adil Baali ◽  
Ming Chau ◽  
Anne Negre-Salvayre ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Numerical Simulations ◽  
Patient Specific ◽  
Specific Method ◽  
Resonance Imaging ◽  
Stent Grafts ◽  
Computational Fluid Dynamics Cfd

scholarly journals Enhancing Magnetic Resonance Imaging With Computational Fluid Dynamics

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Giacomo Annio ◽  
Ryo Torii ◽  
Ben Ariff ◽  
Declan P. O'Regan ◽  
Vivek Muthurangu ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Magnetic Resonance ◽  
Patient Specific ◽  
Human Aorta ◽  
Resonance Imaging ◽  
4D Flow ◽  
4D Flow Cmr

Abstract The analysis of the blood flow in the great thoracic arteries does provide valuable information about the cardiac function and can diagnose the potential development of vascular diseases. Flow-sensitive four-dimensional flow cardiovascular magnetic resonance imaging (4D flow CMR) is often used to characterize patients' blood flow in the clinical environment. Nevertheless, limited spatial and temporal resolution hinders a detailed assessment of the hemodynamics. Computational fluid dynamics (CFD) could expand this information and, integrated with experimental velocity field, enable to derive the pressure maps. However, the limited resolution of the 4D flow CMR and the simplifications of CFD modeling compromise the accuracy of the computed flow parameters. In this article, a novel approach is proposed, where 4D flow CMR and CFD velocity fields are integrated synergistically to obtain an enhanced MR imaging (EMRI). The approach was first tested on a two-dimensional (2D) portion of a pipe, to understand the behavior of the parameters of the model in this novel framework, and afterwards in vivo, to apply it to the analysis of blood flow in a patient-specific human aorta. The outcomes of EMRI are assessed by comparing the computed velocities with the experimental one. The results demonstrate that EMRI preserves flow structures while correcting for experimental noise. Therefore, it can provide better insights into the hemodynamics of cardiovascular problems, overcoming the limitations of MRI and CFD, even when considering a small region of interest. EMRI confirmed its potential to provide more accurate noninvasive estimation of major cardiovascular risk predictors (e.g., flow patterns, endothelial shear stress) and become a novel diagnostic tool.

Progress Towards Patient-Specific Computational Flow Modeling of the Left Heart via Combination of Magnetic Resonance Imaging with Computational Fluid Dynamics

2003 ◽  
Vol 31 (1) ◽  
pp. 42-52 ◽  
Author(s):  
Nikoo R. Saber ◽  
Nigel B. Wood ◽  
A. D. Gosman ◽  
Robert D. Merrifield ◽  
Guang-Zhong Yang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Patient Specific ◽  
Flow Modeling ◽  
Left Heart ◽  
Resonance Imaging

A Longitudinal Study of Hemodynamics in a Functional Human Hemodialysis Fistula Using 3T Magnetic Resonance Imaging-Based Computational Fluid Dynamics Analysis

2010 ◽  
Author(s):  
Yong He ◽  
Christi M. Terry ◽  
Scott A. Berceli ◽  
Alfred K. Cheung ◽  
Yan-Ting E. Shiu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Computational Fluid Dynamics Analysis ◽  
Computational Fluid Dynamics Cfd ◽  
Magnetic Resonance Imaging Mri ◽  
Stage Renal Disease ◽  
End Stage

An arteriovenous fistula (AVF) is the preferred vascular access for hemodialysis in end-stage renal disease. However, 60% of AVFs fail to achieve sufficient lumen dilation to allow adequate blood flow for chronic dialysis [1]. Although hemodynamics is likely an important modulator of AVF maturation and remodeling, the AVF hemodynamic spatial distribution profiles and their relationship with AVF maturation and remodeling are unclear [2]. Based on data collected from magnetic resonance imaging (MRI) of an AVF and computational fluid dynamics (CFD) simulations, we developed a protocol for longitudinal (over time) and noninvasive monitoring of geometry and hemodynamics of human AVF.

scholarly journals Magnetic resonance imaging and computational fluid dynamics (CFD) simulations of rabbit nasal airflows for the development of hybrid CFD/PBPK models

2009 ◽  
Vol 21 (6) ◽  
pp. 512-518 ◽  
Author(s):  
R. A. Corley ◽  
K. R. Minard ◽  
S. Kabilan ◽  
D. R. Einstein ◽  
A. P. Kuprat ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Cfd Simulations ◽  
Pbpk Models ◽  
Computational Fluid Dynamics Cfd

scholarly journals Inflow Hemodynamics of Intracranial Aneurysms: A Comparison of Computational Fluid Dynamics and 4D Flow Magnetic Resonance Imaging

2021 ◽  
Vol 30 (5) ◽  
pp. 105685
Author(s):  
Kouichi Misaki ◽  
Kazuya Futami ◽  
Takehiro Uno ◽  
Iku Nambu ◽  
Akifumi Yoshikawa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Intracranial Aneurysms ◽  
Resonance Imaging ◽  
4D Flow

scholarly journals Correction to: High resolution hemodynamic profiling of murine arteriovenous fistula using magnetic resonance imaging and computational fluid dynamics

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Daniel Pike ◽  
Yan-Ting Shiu ◽  
Maheshika Somarathna ◽  
Lingling Guo ◽  
Tatyana Isayeva ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Arteriovenous Fistula ◽  
Resonance Imaging

Multiphase flow and mixing quantification using computational fluid dynamics and magnetic resonance imaging

2021 ◽  
Vol 77 ◽  
pp. 101816
Author(s):  
Wessenu Maru ◽  
Daniel Holland ◽  
Susithra Lakshmanan ◽  
Andy Sederman ◽  
Andrew Thomas
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Multiphase Flow ◽  
Resonance Imaging

Computational Fluid Dynamics Analysis of Upper Airway Reconstructed from Magnetic Resonance Imaging Data

2008 ◽  
Vol 117 (4) ◽  
pp. 303-309 ◽  
Author(s):  
Mihai Mihaescu ◽  
Shanmugam Murugappan ◽  
Ephraim Gutmark ◽  
Lane F. Donnelly ◽  
Siddarth Khosla ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Upper Airway ◽  
Dynamics Analysis ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Data ◽  
Computational Fluid Dynamics Analysis
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