A 1-D encoder-decoder deep network for pressure estimation from 4D flow MRI: in-vitro experiments

2021 ◽  
Author(s):  
Ruponti Nath ◽  
Amirkhosro Kazemi ◽  
Sean Callahan ◽  
M. J. Negahdar ◽  
Marcus Stoddard ◽  
...  
Keyword(s):  
In Vitro Experiments ◽  
4D Flow Mri ◽  
4D Flow ◽  
Deep Network ◽  
Flow Mri ◽  
Pressure Estimation

scholarly journals In vitro experiments on ICOSA6 4D flow MRI measurement for the quantification of velocity and turbulence parameters

2020 ◽  
Vol 72 ◽  
pp. 49-60
Author(s):  
Hojin Ha ◽  
Kyung Jin Park ◽  
Petter Dyverfeldt ◽  
Tino Ebbers ◽  
Dong Hyun Yang
Keyword(s):  
In Vitro Experiments ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri ◽  
Turbulence Parameters

scholarly journals 4D Flow MRI Pressure Estimation Using Velocity Measurement-Error-Based Weighted Least-Squares

2020 ◽  
Vol 39 (5) ◽  
pp. 1668-1680 ◽  
Author(s):  
Jiacheng Zhang ◽  
Melissa C. Brindise ◽  
Sean Rothenberger ◽  
Susanne Schnell ◽  
Michael Markl ◽  
...  
Keyword(s):  
Measurement Error ◽  
Least Squares ◽  
Velocity Measurement ◽  
Weighted Least Squares ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri ◽  
Pressure Estimation

Valvular regurgitation flow jet assessment using in vitro 4D flow MRI: Implication for mitral regurgitation

2021 ◽  
Author(s):  
Jeesoo Lee ◽  
Aakash N. Gupta ◽  
Liliana E. Ma ◽  
Michel B. Scott ◽  
O’Neil R. Mason ◽  
...  
Keyword(s):  
Mitral Regurgitation ◽  
Valvular Regurgitation ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri

scholarly journals Hemodynamic study of TCPC using in vivo and in vitro 4D Flow MRI and numerical simulation

2015 ◽  
Vol 48 (7) ◽  
pp. 1325-1330 ◽  
Author(s):  
Alejandro Roldán-Alzate ◽  
Sylvana García-Rodríguez ◽  
Petros V. Anagnostopoulos ◽  
Shardha Srinivasan ◽  
Oliver Wieben ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri ◽  
Hemodynamic Study

scholarly journals In Vitro Assessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV

2020 ◽  
Vol 48 (10) ◽  
pp. 2484-2493 ◽  
Author(s):  
Rafael Medero ◽  
Katrina Ruedinger ◽  
David Rutkowski ◽  
Kevin Johnson ◽  
Alejandro Roldán-Alzate
Keyword(s):  
Intracranial Aneurysm ◽  
4D Flow Mri ◽  
4D Flow ◽  
Tomographic Piv ◽  
Flow Variability ◽  
Flow Mri ◽  
In Vitro Assessment ◽  
Aneurysm Model

scholarly journals In Vitro Validation of 4D Flow MRI for Local Pulse Wave Velocity Estimation

2018 ◽  
Vol 9 (4) ◽  
pp. 674-687 ◽  
Author(s):  
Timothy Ruesink ◽  
Rafael Medero ◽  
David Rutkowski ◽  
Alejandro Roldán-Alzate
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Velocity Estimation ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri

scholarly journals Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics

2019 ◽  
Vol 16 (158) ◽  
pp. 20190465 ◽  
Author(s):  
Melissa C. Brindise ◽  
Sean Rothenberger ◽  
Benjamin Dickerhoff ◽  
Susanne Schnell ◽  
Michael Markl ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cerebral Aneurysm ◽  
Patient Specific ◽  
4D Flow Mri ◽  
4D Flow ◽  
Relative Residence Time ◽  
Flow Mri

Typical approaches to patient-specific haemodynamic studies of cerebral aneurysms use image-based computational fluid dynamics (CFD) and seek to statistically correlate parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) to risk of growth and rupture. However, such studies have reported contradictory results, emphasizing the need for in-depth multi-modality haemodynamic metric evaluation. In this work, we used in vivo 4D flow MRI data to inform in vitro particle velocimetry and CFD modalities in two patient-specific cerebral aneurysm models (basilar tip and internal carotid artery). Pulsatile volumetric particle velocimetry experiments were conducted, and the particle images were processed using Shake-the-Box, a particle tracking method. Distributions of normalized WSS and relative residence time were shown to be highly yet inconsistently affected by minor flow field and spatial resolution variations across modalities, and specific relationships among these should be explored in future work. Conversely, OSI, a non-dimensional parameter, was shown to be more robust to the varying assumptions, limitations and spatial resolutions of each subject and modality. These results suggest a need for further multi-modality analysis as well as development of non-dimensional haemodynamic parameters and correlation of such metrics to aneurysm risk of growth and rupture.

scholarly journals Hemodynamic Study of a Patient-Specific Intracranial Aneurysm: Comparative Assessment of Tomographic PIV, Stereoscopic PIV, In Vivo MRI and Computational Fluid Dynamics

2021 ◽  
Author(s):  
Xiaolin Wu ◽  
Stefanie Gürzing ◽  
Christiaan Schinkel ◽  
Merel Toussaint ◽  
Romana Perinajová ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Intracranial Aneurysm ◽  
Comparative Assessment ◽  
Patient Specific ◽  
4D Flow Mri ◽  
4D Flow ◽  
Flow Mri

Abstract Introduction Wall shear stress (WSS) is associated with the growth and rupture of an intracranial aneurysm. To reveal their underlying connections, many image-based computational fluid dynamics (CFD) studies have been conducted. However, the methodological validations using both in vivo medical imaging and in vitro optical flow measurements were rarely accompanied in such studies. Methods In the present study, we performed a comparative assessment on the hemodynamics of a patient-specific intracranial saccular aneurysm using in vivo 4D Flow MRI, in silico CFD, in vitro stereoscopic and tomographic particle imaging velocimetry (Stereo-PIV and Tomo-PIV) techniques. PIV experiments and CFD were conducted under steady state corresponding to the peak systole of 4D Flow MRI. Results The results showed that all modalities provided similar flow features and overall surface distribution of WSS. However, a large variation in the absolute WSS values was found. 4D Flow MRI estimated a 2- to 4-fold lower peak WSS (3.99 Pa) and a 1.6- to 2-fold lower mean WSS (0.94 Pa) than Tomo-PIV, Stereo-PIV, and CFD. Bland-Altman plots of WSS showed that the differences between PIV-/CFD-based WSS and 4D Flow MRI-based WSS increase with higher WSS magnitude. Such proportional trend was absent in the Bland-Altman comparison of velocity where the resolutions of PIV and CFD datasets were matched to 4D Flow MRI. We also found that because of superior resolution in the out-of-plane direction, WSS estimation by Tomo-PIV was higher than Stereo-PIV. Conclusions Our results indicated that the differences in spatial resolution could be the main contributor to the discrepancies between each modality. The findings of this study suggest that with current techniques, care should be taken when using absolute WSS values to perform a quantitative risk analysis of aneurysm rupture.

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