scholarly journals Determination of local flow ratios and velocities in a femoral venous cannula with computational fluid dynamics and 4D flow‐sensitive magnetic resonance imaging: A method validation

2020 ◽  
Author(s):  
Patrick Rauh ◽  
Christoph Benk ◽  
Friedhelm Beyersdorf ◽  
Maximilian Russe
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Method Validation ◽  
Resonance Imaging ◽  
4D Flow ◽  
Local Flow ◽  
Venous Cannula

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 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.

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

Validation of the Coupling of Magnetic Resonance Imaging Velocity Measurements with Computational Fluid Dynamics in a U Bend

2002 ◽  
Vol 26 (7) ◽  
pp. 622-635 ◽  
Author(s):  
F.P. Glor ◽  
J.J.M. Westenberg ◽  
J. Vierendeels ◽  
M. Danilouchkine ◽  
P. Verdonck
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Velocity Measurements

scholarly journals Quantification of Particle Residence Time in Abdominal Aortic Aneurysms Using Magnetic Resonance Imaging and Computational Fluid Dynamics

2010 ◽  
Vol 39 (2) ◽  
pp. 864-883 ◽  
Author(s):  
Ga-Young Suh ◽  
Andrea S. Les ◽  
Adam S. Tenforde ◽  
Shawn C. Shadden ◽  
Ryan L. Spilker ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Magnetic Resonance ◽  
Residence Time ◽  
Abdominal Aortic Aneurysms ◽  
Aortic Aneurysms ◽  
Resonance Imaging ◽  
Particle Residence Time ◽  
Abdominal Aortic
Sign in / Sign up

Export Citation Format

Share Document